{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/timeseriesAI/tsai/blob/master/tutorial_nbs/09_PredictionDynamics.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "created by Ignacio Oguiza - email: timeseriesAI@gmail.com"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PredictionDynamics: gain more insights during training\n",
    "\n",
    "> Callback used to visualize model predictions during training. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I've created this callback based on a [blog post](http://karpathy.github.io/2019/04/25/recipe/) by Andrej Karpathy I read some time ago. Some of the advice is a bit out-of-date but most of it is still very relevant. One of the things he recommended was to: \n",
    ">**visualize prediction dynamics**: I like to visualize model predictions on a fixed test batch during the course of training. The “dynamics” of how these predictions move will give you incredibly good intuition for how the training progresses. Many times it is possible to feel the network “struggle” to fit your data if it wiggles too much in some way, revealing instabilities. Very low or very high learning rates are also easily noticeable in the amount of jitter.\" A. Karpathy\n",
    "\n",
    "I've used it lately, and I believe it can provide additional insights during training you don't get with the losses or metrics (that's not their goal). \n",
    "\n",
    "It's designed to work in **classfication, regression and forecasting tasks**. \n",
    "\n",
    "It's also model agnostic, meaning that you can use it with any deep learning model you want.\n",
    "\n",
    "I encourage you to use it with your own datasets and share your findings!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ## NOTE: UNCOMMENT AND RUN THIS CELL IF YOU NEED TO INSTALL/ UPGRADE TSAI\n",
    "# stable = False # True: stable version in pip, False: latest version from github\n",
    "# if stable: \n",
    "#     !pip install tsai -U >> /dev/null\n",
    "# else:      \n",
    "#     !pip install git+https://github.com/timeseriesAI/tsai.git -U >> /dev/null\n",
    "# ## NOTE: REMEMBER TO RESTART (NOT RECONNECT/ RESET) THE KERNEL/ RUNTIME ONCE THE INSTALLATION IS FINISHED"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nacho/anaconda3/envs/py36/lib/python3.6/site-packages/numba/core/errors.py:154: UserWarning: Insufficiently recent colorama version found. Numba requires colorama >= 0.3.9\n",
      "  warnings.warn(msg)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "os             : Darwin\n",
      "os version     : 19.6.0\n",
      "python         : 3.6.13\n",
      "tsai           : 0.2.20\n",
      "fastai         : 2.5.2\n",
      "fastcore       : 1.3.26\n",
      "torch          : 1.9.0\n",
      "n_cpus         : 8\n",
      "device         : cpu\n"
     ]
    }
   ],
   "source": [
    "from tsai.all import *\n",
    "computer_setup()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PredictionDynamics in classification tasks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to start visualizing the model's predictions of the validation dataset during training the only thing you really need to do is to add PredictionDynamics() to your callbacks (if any). That's it! \n",
    "\n",
    "At the end of every epoch you will be able to see a chart that will display the predictions of the validation set. In this way you will be able to see very quickly what is the impact of changes you've made not only on the loss and metrics, but at a much more granular level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [],
      "text/plain": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>balanced_accuracy_score</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2.516733</td>\n",
       "      <td>2.384978</td>\n",
       "      <td>0.339822</td>\n",
       "      <td>0.185519</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2.144015</td>\n",
       "      <td>1.681469</td>\n",
       "      <td>0.518654</td>\n",
       "      <td>0.264338</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1.761234</td>\n",
       "      <td>1.413739</td>\n",
       "      <td>0.619627</td>\n",
       "      <td>0.339018</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1.462499</td>\n",
       "      <td>1.210969</td>\n",
       "      <td>0.634631</td>\n",
       "      <td>0.335306</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1.229021</td>\n",
       "      <td>1.154806</td>\n",
       "      <td>0.642741</td>\n",
       "      <td>0.367067</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1.068663</td>\n",
       "      <td>1.165513</td>\n",
       "      <td>0.630981</td>\n",
       "      <td>0.371727</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0.976422</td>\n",
       "      <td>1.099913</td>\n",
       "      <td>0.656123</td>\n",
       "      <td>0.420033</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>0.890168</td>\n",
       "      <td>1.263246</td>\n",
       "      <td>0.640714</td>\n",
       "      <td>0.399895</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>0.840717</td>\n",
       "      <td>1.370637</td>\n",
       "      <td>0.597729</td>\n",
       "      <td>0.363634</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>0.755038</td>\n",
       "      <td>1.253253</td>\n",
       "      <td>0.587997</td>\n",
       "      <td>0.388862</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>0.682797</td>\n",
       "      <td>1.245804</td>\n",
       "      <td>0.600973</td>\n",
       "      <td>0.434581</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>0.620466</td>\n",
       "      <td>1.434268</td>\n",
       "      <td>0.566504</td>\n",
       "      <td>0.421770</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>0.548759</td>\n",
       "      <td>1.486987</td>\n",
       "      <td>0.648013</td>\n",
       "      <td>0.390692</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>0.481243</td>\n",
       "      <td>1.357197</td>\n",
       "      <td>0.654501</td>\n",
       "      <td>0.436014</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>0.428393</td>\n",
       "      <td>1.397115</td>\n",
       "      <td>0.614761</td>\n",
       "      <td>0.440997</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>0.402625</td>\n",
       "      <td>1.474301</td>\n",
       "      <td>0.591241</td>\n",
       "      <td>0.442282</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>0.337402</td>\n",
       "      <td>1.578942</td>\n",
       "      <td>0.624088</td>\n",
       "      <td>0.484742</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>0.299750</td>\n",
       "      <td>1.444985</td>\n",
       "      <td>0.614355</td>\n",
       "      <td>0.490972</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>0.244960</td>\n",
       "      <td>1.308818</td>\n",
       "      <td>0.670316</td>\n",
       "      <td>0.470075</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>0.204737</td>\n",
       "      <td>1.453996</td>\n",
       "      <td>0.641525</td>\n",
       "      <td>0.531980</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>0.170358</td>\n",
       "      <td>1.409573</td>\n",
       "      <td>0.663423</td>\n",
       "      <td>0.497267</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>0.146857</td>\n",
       "      <td>1.693494</td>\n",
       "      <td>0.650041</td>\n",
       "      <td>0.462411</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>0.136863</td>\n",
       "      <td>1.775504</td>\n",
       "      <td>0.611517</td>\n",
       "      <td>0.476698</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>0.117970</td>\n",
       "      <td>1.627749</td>\n",
       "      <td>0.633009</td>\n",
       "      <td>0.465423</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>0.106816</td>\n",
       "      <td>1.766820</td>\n",
       "      <td>0.623277</td>\n",
       "      <td>0.481999</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>0.093186</td>\n",
       "      <td>1.508831</td>\n",
       "      <td>0.671533</td>\n",
       "      <td>0.512418</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>0.075515</td>\n",
       "      <td>1.662566</td>\n",
       "      <td>0.687753</td>\n",
       "      <td>0.515204</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>0.079634</td>\n",
       "      <td>1.676620</td>\n",
       "      <td>0.630170</td>\n",
       "      <td>0.512120</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>0.071477</td>\n",
       "      <td>1.551147</td>\n",
       "      <td>0.669100</td>\n",
       "      <td>0.514015</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>0.050371</td>\n",
       "      <td>1.415577</td>\n",
       "      <td>0.673155</td>\n",
       "      <td>0.498155</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>0.036191</td>\n",
       "      <td>1.494920</td>\n",
       "      <td>0.673966</td>\n",
       "      <td>0.497440</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>0.030693</td>\n",
       "      <td>1.500798</td>\n",
       "      <td>0.694647</td>\n",
       "      <td>0.531706</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>0.027646</td>\n",
       "      <td>1.460901</td>\n",
       "      <td>0.691809</td>\n",
       "      <td>0.538920</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>0.035223</td>\n",
       "      <td>1.594264</td>\n",
       "      <td>0.631387</td>\n",
       "      <td>0.537918</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>0.028768</td>\n",
       "      <td>1.477600</td>\n",
       "      <td>0.692620</td>\n",
       "      <td>0.497934</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>0.023838</td>\n",
       "      <td>1.485208</td>\n",
       "      <td>0.684104</td>\n",
       "      <td>0.550889</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>0.016837</td>\n",
       "      <td>1.487875</td>\n",
       "      <td>0.699919</td>\n",
       "      <td>0.547359</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>0.010404</td>\n",
       "      <td>1.484331</td>\n",
       "      <td>0.702757</td>\n",
       "      <td>0.545744</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>0.006693</td>\n",
       "      <td>1.444954</td>\n",
       "      <td>0.695053</td>\n",
       "      <td>0.547662</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>0.004333</td>\n",
       "      <td>1.476661</td>\n",
       "      <td>0.695458</td>\n",
       "      <td>0.540342</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>0.002951</td>\n",
       "      <td>1.475303</td>\n",
       "      <td>0.702352</td>\n",
       "      <td>0.550698</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>0.002297</td>\n",
       "      <td>1.476348</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.551730</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>0.001877</td>\n",
       "      <td>1.487814</td>\n",
       "      <td>0.701135</td>\n",
       "      <td>0.548268</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>0.001584</td>\n",
       "      <td>1.469037</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.549787</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>0.001392</td>\n",
       "      <td>1.489198</td>\n",
       "      <td>0.698702</td>\n",
       "      <td>0.550489</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>0.001380</td>\n",
       "      <td>1.496353</td>\n",
       "      <td>0.703974</td>\n",
       "      <td>0.544292</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>0.001283</td>\n",
       "      <td>1.488233</td>\n",
       "      <td>0.699513</td>\n",
       "      <td>0.549836</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>0.001292</td>\n",
       "      <td>1.491761</td>\n",
       "      <td>0.699919</td>\n",
       "      <td>0.547530</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>0.001306</td>\n",
       "      <td>1.486856</td>\n",
       "      <td>0.704785</td>\n",
       "      <td>0.547065</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>0.001161</td>\n",
       "      <td>1.477113</td>\n",
       "      <td>0.701946</td>\n",
       "      <td>0.549182</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>balanced_accuracy_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.001161</td>\n",
       "      <td>1.477113</td>\n",
       "      <td>0.701946</td>\n",
       "      <td>0.549182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    train_loss  valid_loss  accuracy  balanced_accuracy_score\n",
       "49    0.001161    1.477113  0.701946                 0.549182"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total time        : 0:01:12.648141\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "datetime.timedelta(0, 72, 648141)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X,y,splits = get_UCR_data('LSST', split_data=False)\n",
    "tfms=[None, TSClassification()]\n",
    "batch_tfms = [TSStandardize(by_sample=True)]\n",
    "dls = get_ts_dls(X,y,splits=splits,tfms=tfms, batch_tfms=batch_tfms)\n",
    "learn = ts_learner(dls, InceptionTimePlus, metrics=[accuracy, BalancedAccuracy()], cbs=PredictionDynamics())\n",
    "timer.start()\n",
    "learn.fit_one_cycle(50, 1e-3)\n",
    "timer.stop()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This callback adds some overhead to the training process, and thus it's a bit slower (in my experience just marginally).\n",
    "It's taken 71 seconds to train this model using this callback. Let's see how long does it take to train without the callback."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>balanced_accuracy_score</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2.333131</td>\n",
       "      <td>2.246916</td>\n",
       "      <td>0.358475</td>\n",
       "      <td>0.169953</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1.987025</td>\n",
       "      <td>1.623359</td>\n",
       "      <td>0.517437</td>\n",
       "      <td>0.246647</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>1.682081</td>\n",
       "      <td>1.366652</td>\n",
       "      <td>0.605028</td>\n",
       "      <td>0.316128</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1.431872</td>\n",
       "      <td>1.257384</td>\n",
       "      <td>0.611517</td>\n",
       "      <td>0.346307</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>1.233085</td>\n",
       "      <td>1.144358</td>\n",
       "      <td>0.622060</td>\n",
       "      <td>0.330685</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>1.089783</td>\n",
       "      <td>1.147438</td>\n",
       "      <td>0.645174</td>\n",
       "      <td>0.407579</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>0.984549</td>\n",
       "      <td>1.376621</td>\n",
       "      <td>0.530819</td>\n",
       "      <td>0.371128</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>0.878173</td>\n",
       "      <td>1.118864</td>\n",
       "      <td>0.667072</td>\n",
       "      <td>0.401723</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>0.799107</td>\n",
       "      <td>1.201991</td>\n",
       "      <td>0.592052</td>\n",
       "      <td>0.409797</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>0.739348</td>\n",
       "      <td>1.167148</td>\n",
       "      <td>0.658151</td>\n",
       "      <td>0.424664</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>0.661146</td>\n",
       "      <td>1.259754</td>\n",
       "      <td>0.580697</td>\n",
       "      <td>0.417671</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>0.586491</td>\n",
       "      <td>1.225688</td>\n",
       "      <td>0.643147</td>\n",
       "      <td>0.424177</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>0.525198</td>\n",
       "      <td>1.261841</td>\n",
       "      <td>0.606650</td>\n",
       "      <td>0.428138</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>0.448070</td>\n",
       "      <td>1.699793</td>\n",
       "      <td>0.621249</td>\n",
       "      <td>0.389197</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>0.391815</td>\n",
       "      <td>1.224411</td>\n",
       "      <td>0.658962</td>\n",
       "      <td>0.461270</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>0.300021</td>\n",
       "      <td>1.487120</td>\n",
       "      <td>0.660584</td>\n",
       "      <td>0.421894</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>0.252051</td>\n",
       "      <td>1.511285</td>\n",
       "      <td>0.590835</td>\n",
       "      <td>0.467256</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>0.203333</td>\n",
       "      <td>1.591643</td>\n",
       "      <td>0.616383</td>\n",
       "      <td>0.483738</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>0.196382</td>\n",
       "      <td>1.751049</td>\n",
       "      <td>0.574615</td>\n",
       "      <td>0.487813</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>0.188552</td>\n",
       "      <td>1.510644</td>\n",
       "      <td>0.664234</td>\n",
       "      <td>0.473533</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>0.150700</td>\n",
       "      <td>1.503137</td>\n",
       "      <td>0.631387</td>\n",
       "      <td>0.465077</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>0.123773</td>\n",
       "      <td>1.543574</td>\n",
       "      <td>0.632198</td>\n",
       "      <td>0.499010</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>0.102862</td>\n",
       "      <td>1.544673</td>\n",
       "      <td>0.625304</td>\n",
       "      <td>0.504395</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>0.090753</td>\n",
       "      <td>1.532161</td>\n",
       "      <td>0.629765</td>\n",
       "      <td>0.481323</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>0.074520</td>\n",
       "      <td>1.678817</td>\n",
       "      <td>0.624899</td>\n",
       "      <td>0.504283</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>0.070419</td>\n",
       "      <td>1.613123</td>\n",
       "      <td>0.668289</td>\n",
       "      <td>0.519575</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>0.056190</td>\n",
       "      <td>1.868911</td>\n",
       "      <td>0.658962</td>\n",
       "      <td>0.477249</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>0.064086</td>\n",
       "      <td>1.811247</td>\n",
       "      <td>0.628954</td>\n",
       "      <td>0.539252</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>0.047921</td>\n",
       "      <td>1.498391</td>\n",
       "      <td>0.644363</td>\n",
       "      <td>0.517893</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>0.038283</td>\n",
       "      <td>1.549553</td>\n",
       "      <td>0.675994</td>\n",
       "      <td>0.521330</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>0.030025</td>\n",
       "      <td>1.537471</td>\n",
       "      <td>0.671533</td>\n",
       "      <td>0.532170</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>0.025256</td>\n",
       "      <td>1.669066</td>\n",
       "      <td>0.682076</td>\n",
       "      <td>0.507231</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>0.020163</td>\n",
       "      <td>1.585155</td>\n",
       "      <td>0.687753</td>\n",
       "      <td>0.522679</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>0.018014</td>\n",
       "      <td>1.524787</td>\n",
       "      <td>0.683293</td>\n",
       "      <td>0.534730</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>0.014114</td>\n",
       "      <td>1.677632</td>\n",
       "      <td>0.692214</td>\n",
       "      <td>0.521707</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>0.009559</td>\n",
       "      <td>1.557725</td>\n",
       "      <td>0.689781</td>\n",
       "      <td>0.542659</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>0.009659</td>\n",
       "      <td>1.579241</td>\n",
       "      <td>0.680049</td>\n",
       "      <td>0.488679</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>0.009720</td>\n",
       "      <td>1.644300</td>\n",
       "      <td>0.686131</td>\n",
       "      <td>0.522057</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>0.007928</td>\n",
       "      <td>1.603288</td>\n",
       "      <td>0.689781</td>\n",
       "      <td>0.537862</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>0.006303</td>\n",
       "      <td>1.595291</td>\n",
       "      <td>0.689376</td>\n",
       "      <td>0.534093</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>0.003939</td>\n",
       "      <td>1.555136</td>\n",
       "      <td>0.694647</td>\n",
       "      <td>0.537912</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>0.002469</td>\n",
       "      <td>1.551725</td>\n",
       "      <td>0.694647</td>\n",
       "      <td>0.535787</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>0.001821</td>\n",
       "      <td>1.548253</td>\n",
       "      <td>0.695458</td>\n",
       "      <td>0.537628</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>0.001386</td>\n",
       "      <td>1.554632</td>\n",
       "      <td>0.694647</td>\n",
       "      <td>0.533703</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>0.001249</td>\n",
       "      <td>1.571578</td>\n",
       "      <td>0.691403</td>\n",
       "      <td>0.531836</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>0.001136</td>\n",
       "      <td>1.572797</td>\n",
       "      <td>0.693431</td>\n",
       "      <td>0.534669</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>0.001007</td>\n",
       "      <td>1.568079</td>\n",
       "      <td>0.690592</td>\n",
       "      <td>0.533764</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>0.000869</td>\n",
       "      <td>1.569404</td>\n",
       "      <td>0.690998</td>\n",
       "      <td>0.530707</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>0.000830</td>\n",
       "      <td>1.557153</td>\n",
       "      <td>0.692214</td>\n",
       "      <td>0.533886</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>0.000854</td>\n",
       "      <td>1.566574</td>\n",
       "      <td>0.692620</td>\n",
       "      <td>0.535105</td>\n",
       "      <td>00:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total time        : 0:00:59.865217\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "datetime.timedelta(0, 59, 865217)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn = ts_learner(dls, InceptionTimePlus, metrics=[accuracy, BalancedAccuracy()])\n",
    "timer.start()\n",
    "learn.fit_one_cycle(50, 1e-3)\n",
    "timer.stop()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "60 seconds vs 72. In this case, training time took about 10s longer. \n",
    "\n",
    "In most cases I've used the extra time is approx .25 seconds per epoch. I'll leave it up to you to decide if it's worthwhile adding the callback."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Callback parameters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are a few callback parameters you may want to tweak (although the default ones will work in most cases): \n",
    "* show_perc:  percent of samples from the valid set that will be displayed. Default: 1 (all). You can reduce it if the number is too high and the chart is too busy.\n",
    "* alpha:      level of transparency. Default:.3. 1 means no transparency.\n",
    "* figsize:    size of the chart. You may want to expand it if too many classes.\n",
    "* size:       size of each sample in the chart. Default:30. You may need to decrease it a bit if too many classes/ samples.\n",
    "* color:      color used in regression plots.\n",
    "* cmap:       color map used in classification plots."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use with context managers:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sometimes training time per epoch is very small, and it may be difficult to see the chart correctly. In that case you can use the context managers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>accuracy</th>\n",
       "      <th>balanced_accuracy_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.000906</td>\n",
       "      <td>1.480943</td>\n",
       "      <td>0.703569</td>\n",
       "      <td>0.543281</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    train_loss  valid_loss  accuracy  balanced_accuracy_score\n",
       "49    0.000906    1.480943  0.703569                 0.543281"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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zWdYyiMgM4I9ANPCMc+7hWvt/D5zsfewK9HbOdff2fR/4hbfvAefc8y1jdWSJj4+npKSE3Nxcbr/9dubOnVunz7Rp03jkkUeYNGlSBCw0jGaisgJK8nSiWpIHxXlQsgNK8vWhP76PvhJSq9/v3wXbV8L2VbrNWw0Hi+u/jkSrI6HXUOg5BHoNgdgEOFgCB0rg4D59f7AEirar42DPVnCVgc/Xcwj0HQ99J0DXXmrvoXvI18+RZQkwTEQGoc6Dy4Er/TuISF/n3Hbv43nAOq+9B7Dfi1BIRtOCf0s7x8ZhI+K88SPY9gVc8RqMmNGy1z5QDDnLIXsJZC/V7X6vvkDKKDjpv2D0BRAV5Lm3OA+WvwCZC2HIKTB+JiT2bTn7A1FWBKv/EXR3xJwIAOu2F3HEgB6RNMEwjFZGYWEhjz/+eB0nQkVFBZ06BR+y3nvvveY2rdkJRxHcOfdTv/4/Rle4EJGewC+BSYADlnnHBllebH/069cv4MTVMNodzsE3b8G/Z+mDdw1EH8wry+HA3uDniOmqUQETLteH+YTUwNfZv0sjCQo2qnMg83Mo31f3mp3joXM3iE/RiIMxF6mzwed0qKrwc1yshJxlsPbN6lPEJUF8KiT00ZU7Vjfyyzl8nHMVInIbMA916D7rnFsrIvcDS51z7wC3i8h5QAWwG7jWO3wU8JSIVKHaYw8HqOrQbrFx2IgIW79QB0JMV3jnNrj5Sx2LmpvKCvj4V/DFn6udpsnDYfgZkH40dIqFz/8Ic6+H5N/ASf8PxlyozgTnYOvnsOQZWPdPHSN7DYMPfwkf3QdDpsOEKzSyIqZL+DaVl+r3sTdLnbrFud52u0acDZgKo86DoadCbHzNY51TZ8iy52DN61C+P+hlIupEWJ2z15wIhmHUYNasWWzatImJEycSExNDXFwcPXr0YP369Xz33XdccMEFZGVlUVZWxk9+8hNuvPFGADIyMli6dCklJSWceeaZHH/88XzxxRekpaXx9ttv06VLAwbgyNFQRfArUMcBwBnAB8653d6xHwAzgFea1eJmYNasWfTv359bb70VgHvvvZdOnToxf/589uzZQ3l5OQ888ADnn39+jeMyMzM555xzWLNmDaWlpVx33XWsXLmSkSNHUlpaGolbMYympzAL3vs5fPe+PvxP+29I6FsdcdAtpTr1oLy07ip/XBL0m6hRBcFWxerDOV01K9+v0Qidu0GnLuGF6yakwvDTqz/v360rePF9ICauVudnGm5bE+Kcew94r1bbPX7v7wLuCnDcF8C4ZjewmbFx2GhTLHwUuibDVXPg2TPhnR/DFa9oGlVzUbJDnQOZC2HClTD2Ykg/CrrUerYdf7k6fT/5Lbz+A/jkN+pI+OZt2LleU8am3ASTrleHa8EmWPkKrHhF+8cmwZjzIeMESDsKeg6ue1/lpbDhA73Ot+/7OXpFfxMS+0JSf0gZAZsXqIOgU5xGPYw+DwYep78py56H/NUQ0w3GXQJHXgv3BY4cipgToVOUsDq7Hg+5YRgR5b5/ruWb3KImPefofon88twx9fZ5+OGHWbNmDStWrGDBggWcffbZrFmz5lDpp2effZaePXtSWlrK0UcfzcUXX0yvXr1qnGPDhg288sorPP3001x22WW8/vrrXH311U16L81EIEXwKYE6ishAYBDwcT3HBlITR0RuBG4EGDBgQP0W/XuWhjs3Janj4MyHg+6eOXMmd9xxx6HJ65w5c5g3bx633347iYmJ7Nq1i6lTp3LeeecFFeR64okn6Nq1K+vWrWPVqlUceeSRTXsPhtHSVFXC4qfg4wcAB2c8BJN/BNH1TOViukCPDH01FSJNF2bbtae+jPqxcdhoDIufgsQ0GHVOpC1pXravhI0fwCn36EP2qffCvLtg+fNw1LWNO2dlRf1j67bF8I/v68r+BU/AxCuD942KgrEXaTrDurfVmfDJb6DvRDj/MXU++Eca9BoC038B0+5WB8WK2bDmDU13AHVSpB0FaZM0zWzjh9WOg669YPylMOpcSB6hjtvaejaVFZC1SKMf1v0Tvn23el/qODj7URh3aUjtmog5EbrERLM6x5wIhmHUz+TJk2vUjv7Tn/7Em29qCGxWVhYbNmyo40QYNGgQEydOBOCoo44iMzOzxextQS4H5joXLOk4OOGogkeSI444gh07dpCbm8vOnTvp0aMHqamp/PSnP+XTTz8lKiqKnJwc8vPzSU0NEIINfPrpp9x+++0AjB8/nvHjx7fkLRhGaJyDigOenkCxt92nzoLaHCyB+Q9C7tcw7HQ46xGdPBpGM2HjcBunsgI+vBe6D2j/ToSFj0JsIhz9Q/085SZdVX//Ll297zUk/HOV7oG3b4Nv/w39J2tawvAZkDJSHajOwVd/hXl3Q1I6/PBDffAOh6gojUAYdb5GhiX2C91/8En6qqzQqIWcpaq5kLMMNv4GcNWOg9EX6P3W5/wA3Z9xvL7O+LX+rmz9XD/3OyLs6I3IORE6R/NdfjGlByvp0tnEFQ2jtREqYqCl6Nat26H3CxYs4MMPP+TLL7+ka9euTJs2LWBt6djY2EPvo6Oj21IIZUhFcD8uB26tdey0WscuOGyL6lmpak4uvfRS5s6dS15eHjNnzuTll19m586dLFu2jJiYGDIyMqyuuNF6yF6qk8za+aWB2FcAL10I+Ws1BzZcuvWGS57TSaiVxOtY2DhsNJT8NZpytHO9hsc35EG6LbHzO00LOOFnmqoF+vB9wRPwxLHwxg1w/bzwqstkL4N/XKsaAhOv1AiHD++tdsYMnwH7dqqWy/Az4cInoUsjxLyjokI7EGoT3QlSx+rLF11xoFgFbFNGhnYc1GdL+lH6aiARcyL03r+RAgffbC/iqIGmi2AYhpKQkEBxcWCl8L1799KjRw+6du3K+vXrWbRoUQtb1+yEVAQHEJGRQA/gS7/mecBDnjI4wOkEyNdtK8ycOZMbbriBXbt28cknnzBnzhx69+5NTEwM8+fPZ+vWrfUef+KJJzJ79mymT5/OmjVrWLVqVQtZbnQ41r6pE88Bx8I1b6mQVjAqK2DudbBjPRxzq056O8dXixJ2jg+sUyCiK0S+SbJhtAA2Drdhsr6qfv/te3DsjyNnS2NZ9IQ6CC57AeJ7B+7z+R80t3/KzTXbk9LgnN/rePvpI3ByPdMh52Dxk/Cf/9Xw/+vnQbqnA7A3Bzb8B76bB8tfhMoDMP1/4fifRb5sY2yCOhUiRMScCFJVTiwHWZ1daE4EwzAO0atXL4477jjGjh1Lly5d6NOnz6F9M2bM4Mknn2TUqFGMGDGCqVOnRtDSpidMRXBQ58Krzjnnd+xuEfkV6ogAuN8nstgWGTNmDMXFxaSlpdG3b1+uuuoqzj33XMaNG8ekSZMYOXJkvcfffPPNXHfddYwaNYpRo0Zx1FEN97IbRkh2bYS3fwzdB6oy+Ds/hgufCh4p8NF9sOUTOP9xOOKqlrXVMBqIjcNtmOyvVHC1ay8NzW+LToRVcyB3OTx/Hlz7L+iWXHN/4TZY9ZqmMQSqxDD2In34//T/YNhp1Y4Bf0oLtZrDun9qdMEFj9fUaUlKg0nX6au81BOCDeLQ6GCI3xy0RZnUL9ql3/I8g4eP5dHLJkbEBsMwarJu3TpGjRoVaTNalED3LCLLnHMdopD1pEmT3NKlS2u0dbS/g452v01GYRZ89nuY8TB06hy6//ZVMPsy+MEH0L1/6P6tnfJSeOZUKMqBHy2EVa+q6OG0u2DarLr917yhq2JH/xDO/l3L29vGsHG4Y41LHe1+m50/jNPopeQRsPAR+PlG6NYr9HGthfJS+HW65ulvW6wVCb7/z5r38N5/wdJn4ScrVZ8gEGV74YnjoXS3ikzGJalgYGyibjfNh73ZcNp9cMxtlioWgGBjcUTjMKYkH2SNiSsahmEYRtvj23/D0r9pOahw2LZI61Rvnt+8drUU7/1c844velqdIif8XMt8Lfg1rHytZt/8b1Ssq/8UFbIyDMNoLoq26yp9/ykw8ixwVbBhXujjvnoa3v05bPoYKsub38762L5KNWMm/0hLNe7eBC+er2VhQcsrLn8BJlwe3IEA6jS48lWtgNB7JHTuqufIWwXr39X0s+u8SA1zIDSIiKUzAIxP3M/TW0vYd6CCbrERNcUwDMMwjIZQ5Gl+7t6i5aZCsWeLbrcthiOvaT67WoKvX4avX1LHwbDTtE0Ezv0j7M3S8NikdMg4TsNlX7tKRRcvfT68qA3DMIzGku3pIfSfomUEE/rpA3N9ZQiL87XiQOVBWPK0PnwPO0MrOww9VTVbWhLfPaRP0vSBy1+GV66AFy+Aa96GRY9rdZvjfhr6XH3GwHl/al57OyARjUQY3qWIKk9c0TAMw2g9RCrVraXpKPfZLPicCD7nQCh2e/2yFjePPS1F/lp4904YdCKcfHfNfZ06w8wXVSPhtatg1wZ440ZdFbzsBUjsGxmbjTZJRxmfOsp9thhZX0F0LKSOV+fmiDM1uqC8nkoaS57R6IObPofLZ8PIc2DjBzDnGvjtYPjk/w7frn27NA0uHLKX6Djq0x8YeirMfBl2rIMXLoCvnoExF0Dy0MO3y2gUkXMiSBRp0YUArM62lAbDMIzWQlxcHAUFBe1+Yueco6CggLi4uEib0jYpytXt7szw+vucDQUbtMxhW6SsSCfVcUlw8d8CV1Lo0gOumgMSBU+dpGHEMx6GAe1LCNZoXmwcNhpN1mJIO7I66mnkWVruccsngfuXl2pq2vAZqvY/8mwVGPz5RtUhyDhB07QKNh2eXW/fBs+fq9UQQpG9FNKPrtk2/HR1xuavhYPFWiHBiBiRyyGIjqHrgR30SYxltekiGIZhtBrS09PJzs5m586dkTal2YmLiyM9vZ58SiM4h9IZNofuW1UFezKh35Gqtp39la6OtXYOFGuYb0keFOepEvjuLTqxrk+hu+dguPwVeOE8mHi1iikaRgOwcdhoFOVlkLsCjrmlui3jBOicoCkNw8+oe8yqObC/QMvO+hPdSSOukkfAHyfAJ7+Bi/7aeLs2L4CKUnVG1BdBsDdHf19qOxFAfzeunqtRXn3HN84Wo0mIoBOhMxRtZ1xaEquyCyNmhmEYhlGTmJgYBg0aFGkzjNaMc9WRCOGkM5TkQUWZltzKW6Uii63ViVBWBC+cDzu/hfJ9tXYKnPGgah2EYsAUuPNbjVowwS6jgdg4bDSK7Sugqlz1EHx0ioWhp8B376tDN8ovEN051RdIHaeVEAKR0Acm3wBf/BlOuBNSRjTcrm1fqgMBYNNH9TsRcrxKJYGcCACDp+nLiCiRS2eIioHiXMaldWfzrn2UHKiImCmGYbRd4uPjAcjNzeWSSy4J2GfatGnULp9lGMZhsL9ABbi6pWjFhfLS+vv79BB6j4K+EzRnt7Wy6jWNlhh/GZx6H1z4FHzvLbhlEfz3lrqrdfXRpbs5EAzDaDl8mjPpk2u2jzwbSvJ1bPNn00ewcz1MvbX+seq4O1RccUEjq8ts+kgXkJP6w8aP6u+bvcTTdBjXuGsZLULknAjRMVCcx/i0BJyDtZbSYBjGYdCvXz/mzp0baTMMo2OwN1u3A70V+T2Z9ff37e8xCPpP1YlsxcHmsq7xOAdLn1NBsnN+D8ffoSXEhpysDpAuPSJtoWEYHZXiPDhYOzqqFllfaTpVfErN9qGngkRrSoM/Xz4G8alaArE+uvWCKTfB2jchb03Dbd/4serCDJ8BmQu1skIwspeqs9kq2bRqIutEqDzIuJ4agWC6CIZhAMyaNYvHHnvs0Od7772XBx54gFNOOYUjjzyScePG8fbbb9c5LjMzk7FjxwJQWlrK5ZdfzqhRo7jwwgspLQ2xSmoYRsPwpTL4wl93h0hp2LNFJ7DdB2iYf0WZpjW0NrKXwI61MOl6iyAwDKP1sH83PD5VxQmD4ZxGIvinMvjo2hMGHgvf/ru6Lf8brdow+YfhPbAfexvEJsH8hxpme9F2HVeHnAJDpqvIY7AqPZXlkPt18FQGo9UQUWFFgOSqAvomxZkTwTBaG/+eBXmrm/acqePgzIfr7TJz5kzuuOMObr1VQ4bnzJnDvHnzuP3220lMTGTXrl1MnTqV8847DwkyyX/iiSfo2h4/66IAACAASURBVLUr69atY9WqVRx55JFNex+G0dHxiSoeikQI4UTYvQWS0vW33zfB3bZIa4C3JpY+B53jYVzg1CjDMIyI8OkjULoHvnkLdv+vRhvUZs8W2LcT+k+uuw80peH9WSqG23OwaiF0ioOjrg/Phi49NJ1rwUOQs1wrQITDpo91O2Q69BwEUZ00pWHQiXX75q9RJ3Nr+20w6hBZTQSAou2MTUuyMo+GYQBwxBFHsGPHDnJzc1m5ciU9evQgNTWVu+++m/Hjx3PqqaeSk5NDfn5+0HN8+umnXH311QCMHz+e8eNNwdcwmpSiXJ0IpozQlalwIhF6eiJxCala/zvYSlRj2bcLnjtblcYbQ+keWPsGjLsUYhOa1jbDMIzGsnsLfPVXGHGWjrtfPha4X9YS3dbWQ/DhE7Nd/x6U7NSxcsIVmqoQLlNvVmdCQ6IRNn0M3XpDn7E6tvafqhoJgcgOIapotBoiW50BoDiX8WlD+OCbfIrLykmIi4mYSYZh+BEiYqA5ufTSS5k7dy55eXnMnDmTl19+mZ07d7Js2TJiYmLIyMigrKwsYvYZRoenKBcS+kFUNPTMCC8SYfT51Z/7T9Ga5c41XdrApvmw9TN9ZX0FZzzUsJzala/qCtik65rGHsMwjKbgo/s0iuvsR2H+g/D1yzDt7roP/1mLtZRj71GBz9MjA3qPgW/fU22FygMw9ZbAfYMRlwjH3q42ZX0VPOrBR1UVbJ4PQ0+rrgox5GT4+FdQsqNuqdysryChr0auGa2aCGoidAKJ0jKP6UkArMkpipg5hmG0HmbOnMmrr77K3LlzufTSS9m7dy+9e/cmJiaG+fPns3Xr1nqPP/HEE5k9ezYAa9asYdWqVph7bRhtmaIcSOyn73sM0vDYYJTthdLd1ZEIoLoIJfmhBRkbQvYSiOmmKuNLnoa/n6X1xsPBJ6iYdpQKehmGYbQGsr5SMcNjfwyJfXVbUapjXKC+6ZPUuRuMkWdpucXFT+qDfcrwhts0+UbomgwfPxC67/YVWs1n6CnVbb73m+bX7Z+9RO/BNGlaPZFzIiAa2lKcy7g0dSKszimMnDmGYbQaxowZQ3FxMWlpafTt25errrqKpUuXMm7cOF544QVGjhxZ7/E333wzJSUljBo1invuuYejjjqqhSw3jA6CvxOh52Ao3AaVQUo1+1IdemRUt/WfqtumLPWYvURzdGc8BJf+HXasg6dOhM2fhD5225ew61s4yqIQDMNoJTgH//mFPi8de7u2pYyA4WdqesPB/dV9y4pUvDCQqKI/I84CV6WO3YaUq/UnNh6O/6lGk2V+Vn9fX9rC4JOr21InQNdedVMa9u3SqDZLZWgTRNCJgHrUirbTKz6WtO5dWG2RCIZheKxevZr589VLnZyczJdffsnq1at57rnnWLduHRkZGQCUlJQAkJGRwZo1WnaoS5cuvPrqq6xbt4433niDxYsXM2mSifQYTcTSZ2Hho5G2InI4p+kMh5wIg6CqAoqyA/f3pTr08ItE6D0KYhMha1HT2FReqtUefGJcYy6EG+brRPXFC/Tfq6oq+PFLn1Vth7EXNY09RptHRGaIyLcislFEZgXYf62I7BSRFd7rh377vi8iG7zX91vWcqPdsO6fmqIw/X/0wd3Hcbfr6v6Kl6vbcpapcyBUekHfiZCYBr1Hw+Bpjbft6B9oaciP7tffhGBs/FhL5vqXnIyKUqfCpvk1x2XTQ2hTRNaJkNAPircDMDYtkdXZFolgGIZhtGL2ZmvlkqXPRdqSyFG6R7UDEtP0s885EExc0dfun84QFa0P/E0VibB9lToy/CefKcPhho9h9AWav/vmjYFrk+8rgG/ehgkzoXO3prHHaNOISDTwGHAmMBq4QkRGB+j6mnNuovd6xju2J/BLYAowGfiliPRoIdON9kLFQfjwl5AyEiZeXXPfgGMgbZIKLFZValvWV4CErmoQFQVXzoHLXz68lIGYLnDyXerkWPtm4D5lRZD9Vc1UBh9DT4F9O7Qag4/sJVoKuO/ExttltBitIBJBa02PT+9OZsF+9paWR9QkwzAMwwjK/IdUjKp4e/2rL+0ZX3lH/0gECC6uuGeL5s/WrnjQfwrkr1XNhEBUHITVc4OnSfiT7amSp9WaQMfGwyXPwin3wOp/wIsXqRPEn5WzofKgpTIY/kwGNjrnNjvnDgKvAueHOMbHGcAHzrndzrk9wAfAjGay02ivLH1WtWZO+5XqyPkjAsf9RMfWdf/UtqzFGl0QlxT63KljA5eIbChHfA/6jIMP7tFosNpkLlTn7pAAToQh03Xrn9KQvURt69z18G0zmp0IRyL0hbJCKC89pIuwNsdKPRpGJHEd6MGoI92r0QTkr4UVs6FbClSVw/7dkbYoMvjECn3q2Qn9IDq2/kgE/ygEH/2nAK46hLU2H98Pr/8A1r0T2qbsJdB9ACT0qbtPBE64Ey56RifafzsD9njirD5Bxf5ToU+ghWajg5IGZPl9zvbaanOxiKwSkbki0r+BxxpGYEoL4ZPfwKCTYNhpgfuMPFsdAV/8SaMRspeETmVoaqKiYcavYW8WfPmXuvs3fqRit4F0GhJStVLEpo/1c1Ul5Cy3VIY2RIQjEbxVjKJqccVV5kQwjIgRFxdHQUFBh3i4ds5RUFBAXFxcpE0x2gof3qflrU6+Wz976XgdjtqRCFFR0GNgPZEIW2vqIfhIn6RVmrIW192X+Tl84U1KN34Y2qbspaEnn+Mvhe+9CSV58MypkPs1bPkUdm+yso5GY/gnkOGcG49GGzzfkINF5EYRWSoiS3fu3NksBhptlM8e1Yip038VPOUgKhqOuU21EJY+CweKQosqNgeDToBR58LC30NRrd/ETR/p/mCldodOh22LtNzkzm/hYLE5EdoQnUJ3aUYS+uq2eDs9eg0hvUcXVpsTwTAiRnp6OtnZ2XSUCU1cXBzp6VaL2AiDzM9gwzw49T4NGQUoztPQy45GUa7mrcb7rfr3GAS7M+v2rTiogouBIhFiE6DPmLpOhAPF8NZN6phIGalOhKqq6hrjgewpyob020LbPugEuP4/8PKl8NxZ0GsodOkBo8ONVDc6CDlAf7/P6V7bIZxzBX4fnwF+63fstFrHLqh9AefcX4G/AkyaNKn9e+7bO87Bkmdg6KmBx7twqaqEJX+DsReHLjc78UpNsfvgHv3c0pEIPk77FXw3T0UWL3xC2wo2aQnfqfVUgBhyCnzxZ/19Lc7TNnMitBki60Q4FImgnqtxaUmsMnFFw4gYMTExDBp0GD9+htEecU4naYlpMOVHUJKv7R02EiFXQ1H9a5H3HKQTQedqrpwVblPF8ECRCKBpBCtfUd0DX97vvP+Bwiy4/n3NCf7ufa280C+I2JZPDyHcyWfvkfDDD2D2ZbB9pU5yY7qEd6zRUVgCDBORQahT4HLgSv8OItLXOecbBM4D1nnv5wEP+Ykpng7c1fwmGxFl0eMw726NDjjjwcafZ9d3cLAkeBqDPzFdYPKNsOAh1Z1pCp2DxtBzEEy9BT7/A0y+QUvt+tIUAokq+hhwDHTqon0P7lOHbqTuwWgwkddEAChWccVx6Ulk7S5lz76DETTKMAzDMPz45m0NGT35bp20xadqu2/lpKNRlFO9COCj52Ao3wf7akUx7QlQmcGf/lN0wrzjG/383TxY/ryKhg2Yqqt6ABs/CG5P9hLVZEgdH/49JKTCte/pCtoJd4Z/nNEhcM5VALehDoF1wBzn3FoRuV9EzvO63S4ia0VkJXA7cK137G7gV6gjYglwv9dmtFe2La6OBtj13eGdK2e5bvsdEV7/yTdATFcdLw+n2sLhcsKd0K03vH+XOpM3fQzdB9bvFIiJg4zjVDshe4k6giN5D0aDCOlEEJH+IjJfRL7xBsufBOgjIvInr5buKhE5MqyrxyVC5/hDkQgT0rsDpotgGIZhtBIqyzVEs/domHCFtsXE6YpJR45ESKylExeszKPvc7BIhAFeDm/WYhWqfOfHKrbl052I763lvjbUo4uQvVTDfoPl3QYjNl7rrXfr1bDjjA6Bc+4959xw59wQ59yDXts9zrl3vPd3OefGOOcmOOdOds6t9zv2WefcUO/VgevBdgD2FcDc63RMHHqq5vYfDrlf67NRr6Hh9e/aE773Fpz+wOFd93CJS4RT/heyFsGq11RvZsj00E6BIadAwQbYud5SGdoY4UQiVAB3OudGA1OBWwPUyj0TGOa9bgSeCNuChL6HIhHG+sQVsyylwTAMo83zyf/B1i8ibcXhsezvKrx36r01w/cT+nbMSATnvEiEWk6EYGUe92zRVbL43oHPl9Rfv8tti+BfP1VHwoVPQqfY6j7DTtNa47VLM4I6eXK/tsmnYRgtT1UVvHmjRmBd9ryOQ4XbApc7DJfcr9Up6v97E4oBUw5Ph6GpmHgVpI6Df96hEWb1pTL48JV6BBvH2xghnQjOue3OueXe+2I0rKt2qZrzgRecsgjoLiJ9w7Igse+hSISkLjEMTu7GymyLRDAMw2jTFOfD/AdUaKqtcqBYy2wNPA6GnV5zX0Jqx4xEKCuE8v110xm6DwAkcCRCj4zgq1EimtKw7h345i04+S7oWystYehpqquwaX7d4/PXQEWZVnowDMNoST57VIVfZzys6QfJwwEHuzY07nyV5ZC3OvxUhtZGVLR+FxWlKr476MTQx6SM8JzSoloKRpuhQZoIIpIBHAHUrscUVk3cgOVsEvrVmIiNT09idY5FIrRpnIOnp8PyFyNtiWEYkWLLp7rNWxNZOw6HRU/oCtNp99d9CO6okQhFGjlYx4nQKRaS0gNHIgRLZfAxYCpUHoT0yXBsnYxJdRDEdYcNAXQRspd6fWwFyzCMFmTLQpj/IIy9BCZdr20pI3Xb2JSGHeug8kDbdSIAZBwPE6+G0edBXFLo/iIwfiYMnhZef6PVELYTQUTigdeBO5xzRY25mHPur865Sc65SSkpKdqY2FedCFVVAIxP705+0QHyi8oacwmjNVC4TUXI1rweaUsMw4gUmxfotmDD4YV2RpKNH+kqeaBV7oRUrdJQVdnydkWSQ06EOusEGnHgH4lQVaUlvkKF2Y44CzJO0DSG6ABFo6KiNSzWV+rRn+wlKnSZZKVaDcNoIYrzYe710HMInPuHaidzryEgUbCrkU6E3K9125adCAAXPAaX/j38/qf+Eq55q9nMMZqHsJwIIhKDOhBeds69EaBLyHq6QUnoB1UVsH8XABP6qxdqpekitF3y1+o26ysNzTIMI2xEZIaIfOsJ1c4K0ucyP7Hb2X7tlSKywnu903JW18I5dSJ0TtAw9J3rQx7SKtmbpZPEQCT0BVcJ+3a1rE2Rpsj7aU8K4EToOahmJEJJnqYa9Mio/5w9BsK1/9IJeDCGngb7dmipR3+yl6iTxxS9DcNoCUp2wD+u1XS3y16A2ITqfZ1iNfKqsZEIuV9DbJKVOTTaBOFUZxDgb8A659yjQbq9A1zjVWmYCuz1q51bP4medIK3ujG6bxLRUcIq00Vou+R74cvl+yB3RWRtMYw2hIhEA4+hYrWjgStqC9mKyDC05vhxzrkxwB1+u0udcxO913lEit2boSgbjvq+fm6LKQ2V5Rol171/4P0JvjKPHUwXYW+OrrTF96m7r+dgTf84UKyfd4co79gQfAJd/qUe9xXo35qlMhiG0dxUlsOXj8Gfj1Ln5Xl/hj61debRlIbGlnnMXQ79JppT1GgThBOJcBzwPWC63wrXWSJyk4jc5PV5D9gMbASeBm4J24IEL6/Sm4h16RzN8D4JrMy2SIQ2S95q6Jqs77d+FllbDKNtMRnY6Jzb7Jw7CLyKCtf6cwPwmHNuD4BzbkcL2xiazZ4A3lHXqjJ/fht0IhTlaBRFUjAngucA72i6CEW56kCIjqm7r3aZxz2ZNdsPh0ClHnNMD8EwjBZg40fwxLEw725NcbtlEYy/NHDflOFQsLHhkbjlZZD/TdtPZTA6DAGSD2vinPsMqNcl5pxzwK2NsqBWJALAhPQk3l+bh3MOMW9c2yN/LQw8VkOYt34Bx/800hYZRlshkEjtlFp9hgOIyOdANHCvc+59b1+ciCxFS/M+7JyLTJLh5k/04bvXUOg9ujrFqS1R6P0zWCRCTYpy6ooq+vAv89h3vG4l2qvc0AQMOw0W/k7LQHbtqauBEq0rd4ZhGE1NwSb4z//Ct+9qpNWVc2D4GfUfkzxC07R3b1GHQrjsWAtV5VahwGgzhHQiNDvdemtoZI0KDd15dUkW23bvZ2CvbhE0zmgwB/dpeOn4mdC1l4orVlU2rN6tYRj10QkYBkxD9Wc+FZFxzrlCYKBzLkdEBgMfi8hq59ym2icQkRuBGwEGDGiiBzwfVZVamWHkORqSmToW1r6lOgltySm8N1u3wSIRfOH8HTESIdjEuHYkwu4tKngYKGqhMQw7HT79P410GXuxOhH6jIHONk8wDOMwqKyA3Zs0ai5vjW7z16rTtHM8nHofTL1ZNQ9C4Rsfd33bMCdCexFVNDoMDSrx2CxEd9LJWFHNMo8AK9uLLsKuDfDbwfpw3d7J/wZw+uCQcTwcKKorhGUYRjDCEanNBt5xzpU757YA36FOBZxzOd52M7AALclbh4CVcpqKvFVQVqjlmgD6jNXPReFp7bYa9nqRCIGqEIA+GHdLaV+RCJs/gWdOVWdwMIpyITFIJYS4RHUe+8QV92xpGj0EH2lHQZcemtJQVQnZyyyVwTCMw6O0EB4dCY9N1ooLX/xJtV8GHqflfW9bCsffEZ4DASDZcxw0VFwx92sdP4M5rg2jlRH5SATQ0Mji6nSGEakJxHaKYlVWIedNCBI22ZbYvhL2F+iEp70rrvpyn/uMrV59yvzcPKuGER5LgGEiMgh1HlwOXFmrz1vAFcBzIpKMpjdsFpEewH7n3AGv/Tjgty1nuoevtOOgE3XbZ6xu89e2XBm+8lJAICau8eco3KYO7vrOkZDaviIRVr2mq/uZn8Pw0+vuL9sLB4uDpzOARiP4RyKMri3pcRhERcOQ6Vrqced6tcWcCIZhHA7bFqkg7PRfwPAZ6gQI12EQiNgEdbQ22ImwQufKbSliz+jQRD4SAVSgyi8SISY6itH9EttPhYaSfN36RKbaM/lrIDZRc2AT++mEcusXkbbKMNoEzrkK4DZgHrAOmOOcWysi94uIr9rCPKBARL4B5gP/5ZwrAEYBS0Vkpdf+sHPumxa/ic0LVAchwQv37zNGt3mrW86GV6+E139weOfYmxV6RSihb/uKRNiyULebPg6836ddVJ8TwVfmsWwvlO4OXd6xofhKPS59Vj+bE8EwjMMhaxFEdYKpt0LquMNzIPhIGa7pDOFycD/sWGcLbkabovVEImQurNE0Ib07c5ZmUVnliI5q414530qVf/3s9kreGn1o8HlSM46D9e9CVRVEtQ6flWG0Zpxz76EVb/zb7vF774CfeS//Pl8A41rCxqCUl+mqzqTrq9viEqH7wJat0LBro6ZP7CuAbr0ad47CLBUHrI+E1PZTxnZPJuzdphpFQZ0IXkpKsBQPUMfxmtc1jQ+aNp0Bqks9Ln8B4rpDryFNe37DMFofpXs0lak52LYY+k6Azl2b7pzJI2D58+HPffNWg6s0J4LRpmgdT3UJfb0wyeo8zPHpSew/WMnGHSURNKyJKPEqsO1u504E5zRk2Re+DDDweB38d7T8gqhhGC1M1mKoKINBJ9Vs7zO2ZSs07N+lE7J1bzfu+KoqFVYMJxJh304V5Wrr+KIQJl6pK2g+YUl/wopEGKylMX1pLU1R3tGf+N460a48qFEIFvprGO2b7GWqK7bxo6Y/d8UByFkG/ac27XlTRkD5figKMI4G4pCoolVmMNoOrcOJ4JuQBBRXLIyERU1LiS8SITOiZjQ7hVs1R9UXvgwaiQCw9fPI2GQYRsux5RMtuef7f+8jdazWzS4vrf/4V66Ev50Oi56o8XvQIA7u18kbwJo3GneO/bug8kDo0oQJqYDT8Pq2TuZCFYqceot+DhSNUJQLiDpPguGLPNg0v+bnpmToabrtP7npz20YRuti+fPqmPSlMDUl21fqWD+gGZwIEL4uQu7XEJ9aXfbeMNoArcOJ4JuQ+IkrDk6OJz62E6vagxOh2NNEKM4NPYluy+R54cqpfhHV3Qfoap45EQyj/bN5AaRPUmEpf/qM1UlgfRFJBZu0FnfBJnh/Fjw6Cp47C756ujqaKxz2F+g2qT9kftY4Z0ShV5khlBDkod+uNq6L4JxGImQc7+lZ9A3sRNibrZEAnToHP5cv8iBrMXRNrvu30BSMOledVYOnNf25DcNoPZSXaongqBj47n0o2dm059+2SLdN7URIboQTwVIZjDZG63AiBIhEiIoSxqa1E3HFkjyI08gKCrdF1pbmJH8tINB7VM32gcepuKJzETHLMIwWoLRQJ0KDp9Xd54tOqi+l4VtPBuKGj+DWJTBtFuzbBe/9HH43Ar58LDw79u/S7dE/ABx881aYN+DHXm+cDpnOkKrblqzQ0Bzj6O7N6uTOOEHTA4ZMV4dQVWXNfkW59acygDoZYrpBVXnzRCGAalXM2mqRCIbR3vn233BgL5z+AFRVwOo5TXv+rMXq+Izv3bTn7dZLyzWGI654oBh2fWdOBKPN0TqcCAEiEUDFFddtL+JARWWAg9oIFQdUE8CXb9WedRHyV6vIVeduNdszjtO84V3fRcYuwzCan8zPNNpg8LS6+3oMgs7x1dFKgVj/LvQZp2r+KcPViXDrYrj5C32Y3/xJeHb4IhEGHKvna0xKgy8SoXsYmgjQcpEIi/8Kv0qBR0bAUyfCy5fBOz+Gjx/UyXZj2fKpbn1lOYdM19+t2qKRRbn1iyqCOiF8FRmaWg/Bn+aIcDAMo3Wx8hUdcybfAGmT4OuXms6R6pxGIjR1FIKPlJGwM4x57/ZVgDMngtHmaB1OhNh4LQtYK+x0fHp3yisd67cXR8iwJsAXhjtgim7bc4UGX2WG2gz08qMzP2tZewzDaDk2L4CYrjrRq01UlIbJB6vQULJTV4RGnl2zXUTHlORh4esO7POcCN2SYexFkP0V7Nka9m0AWt4xNqk6giwY3VK0mkFLRSKsfVOjH4adCt16q+P9u3mw8BF45Ypq4cOGkrlQ83F7DdXPg08GpG5KQziRCFAdgdBckQiGYbR/ivNVTHH8ZRAVDUdcpSlxPhHCw6Vgk0auNZcTIXk47Fwf2umRu1y35kQw2hitw4kAXr3tmhMgn7him9ZFKPH0EHqPgc4J7Vdc8UCJOkj6BKgw13OwTlC3ftHydhmG0TJs+UQdhsHy5fuMUSdCoAnVd+9rFENtJ4KPbima2hAOvnSGrj1hzIX6fu2b4R3rozArdBQC6MQ2vk/LRCIc3A85S/Wezn8Mrp4LN30GP/8OblmMpm680/Dz+vQQBp1QXemgWy8teebvRDhQrGHFoSIRoGUiEQzDaN+smatVdiZcoZ/HXgyd4jQaoSnI8vQQmroyg4+UEVBWqJG49ZH7tUbbxac0jx2G0Uy0HidCYt86kQjpPbrQs1tnVrZlXQTfClVCH51Ytdd0Bp9gWurYuvtENKVh6+emi2AY7ZG9OZquNPik4H1Sx2op30ClA9e/C0kDaoqy+tMtWSdi4Ywf+wsgqhPEddeV8LSjYM3r4d2Hj73ZoUUVfSSkNj4S4aun4YNfhtc3e4mWNcw4oe6+lOEqXrm2Eakbu77TKI/a5x0yXaM4yor086HyjmE4ESwSwTCMw2XFK1ry0FfpIC4JRp8Pq+c2jUj5ti/1dyJ5+OGfKxC+84YSV8z9GvpNbB4bDKMZaT1OhIR+dVZzRITx6UltPBLBm1zGp0LPjPabzpC3WreB0hlAVyiLt6uAl2EY7Ystnl7B4GnB+/iilGqnNBwo0RXvkWdVr4TXplsKVJTBwZLQtuzbpYJWvnONvRjyVsGuDaGP9bF3W2hRRR8JfRvuRHAO/vMLFY38/A/hHZ/5mVYkCBZ6O+ZCTQkJ5KSpj0N6CAGcCFUV1WloRTm6DSedYeQ5cPQNFp5rtGlEZIaIfCsiG0VkVj39LhYRJyKTvM8ZIlIqIiu815MtZ3U7IW+16mz5ohB8TLxKI6LWv3v419i2GPpP0XS75iBlpG7rE1cs3aPzYhsrjTZI63EiJHoTsVpq0OPTu7NxRwn7DlREyLDDpGQHIDoJ7jFIc3OrqiJtVdOTv1a9xMEm3hnH69ZKPRpG+2PzJ1rOr3cQJyJAn9G6re1E2PSx1ukOlsoAmv8P4ZV63F+gTgQfYy4EJHyBxbIijZgIJ50BvEiEBqQzVFbA27fBF3+GEWdp24YPQh+XuVBXq+ISA+/3pW5883b4tvjOm5heN/Wg/xStsrDpI/18KBIhDCdCQiqc/Qh0im2YLYbRShCRaOAx4ExgNHCFiIwO0C8B+AmwuNauTc65id7rpmY3uL2x8lUt6zj24prtGSdo6fCvXzy88+8rgIINzaeHADpWdk6oPxJh+0rdmhPBaIO0HidCQl/NfaqVOzQhPYkqB2ty2mhKQ3GehuJGd9J0hsoDbb+meCDy12g4bbCVxOTh+pBhugiG0b6oqlRRxUEn1r+iE5ugY2DtCg3r39WQ0gHHBj+2m5crGo4uQm0nQmI/GHispjSEkw6x16vM0JBIhP0FWoknFOVl8I/vw4qX4KRZcPlsTQ/Y8J/6jzu4H7KXVjtjA9FrCKSOb1g1iqoqjTTw10Pw0amztvt0EXxOBF9FCsNo30wGNjrnNjvnDgKvAucH6Pcr4DdAWUsa166prIBVc2D4GarP4k9UFEy8Wh3Xh1MyPcvz+TSnE0FERYHrcyL4RCLNiWC0QVqPE8G3ulFUW1yxOwCr2qouQkm+pjJAdX5oe0tpqKrSSIRgqQygg+nAYyHTIhEMo12x/l1N2xpzQei+fcbWjESoLFdRxRFnqqM1mTwPKQAAIABJREFUGN2SdRtKoArU0eDr72PsRRpS6tNuqY9D5R0HhO4LuuoO1SK6wSgrgpcvgfX/gjN/CyffpePisNNg03z9LoKR/RVUlQfWQ/Bn7EUqvhhuNYqd69QBEuy8Q6ZrqO3uLZrO0DUZYuLCO7dhtG3SgCy/z9le2yFE5Eigv3MuUGz9IBH5WkQ+EZGA/8FE5EYRWSoiS3fuDGNs6yhsnq86LRMuD7x/opfisOKVxl9j25ca6dDcD+8pI+ovb577tUaBdenRvHYYRjPQepwIQeptpyTE0i8pjpVtVRehOE9FFaE6XLS9VWgo3Kq5yn0CiCr6k3G85hofjvfYMIzWxZd/ge4DNQ8+FH3Galmtg/v187YvVb26vlQG8ItECGOivX9XzUgEgFHnaynGcAQWGxOJAPXrGuzbBc+fq/d70dMw5UfV+4adDgeLdV8wQukh+BjtOXK+eSs824PpIfgYMl23m+ereGZSGKKKhtEBEJEo4FHgzgC7twMDnHNHAD8DZotInTwk59xfnXOTnHOTUlJMmf8QK1/Rh+phZwTe332AiviueLnx6cFZi9WBENOl8XaGQ8oIfa4pC7AQWlmhEWYWhWC0UVqPEyFIJAJoNELbjUTYUR2JkJSuE8H2VqHBt7IYqDKDPwOP0217jEYo2dH+nEOGEYqsJToZm3qLljsMRepYwMGOdfp5/btassv3sBqMQ5EIIdIZKiugtFBXzP2JT4FBJ4WX0rA3C6I7VzsuQuGLRKgvTe2De7Re+OWztea5P4NO0hWx+lIatizUiWZsQv229Byk/cItablloaaYBIu66DVUq2Zs/Eh/m8OpzGAY7YMcwN+TmO61+UgAxgILRCQTmAq8IyKTnHMHnHMFAM65ZcAmoJlKALQzyjzRxLGXBC8XDJrSULgVtn7W8GuUl2kEwIApjbczXJK9yhI7A0QjfP57jfAaHShLxjBaP63HidAtRR+wA0zEjhjQnW2797OjqI2lnFVVaUhWvCcKFh2jYl3tLZ0hb42u8qWMqr9f79HQpaeuarUkZUXw93Pg3Z83z/kLNsFTJ8JjU2DVP5rnGobRGvnyLxCbBEdcFV5/X8pT/mp9mF//rjoQOner/7hOsSrcui+EsGLpHsDVTWcAFejakwm5y+s/R2GWOnzDVewOFYngnGpGjDhLc3xrExuvJXCDiSse3Ac5y+rXQ/BnzEU6QQ7lrK6q1Al4fSkSIjDkZI1Y2JsdnqiiYbQPlgDDRGSQiHQGLgfe8e10zu11ziU75zKccxnAIuA859xSEUnxhBkRkcHAMMBKU4XD2re0Ek/tqgy1GXWO/vZ8/VLDr7F9hZbL7d+Megg+fOUpa1doyFkOCx7W36VwUgENoxXSepwIUdG6olNU14lw3FCdEH62MQxRrdbE/gItkeVbqQJd9WlvK9b5a6DnEOjctf5+UVEwfIbmQNeX/9uUlJfBq1eqAvmy58JTd28Ie7bC8+epqFrqeHjjh7rqWKvKiGG0O/ZshXXvwKRrQ6+Q++ieAZ3jVUMlb5Wu+vsqFISiW0rodIb93m9E15519406R1f8V4dIadibFX4qA6hjNKpT8EiEwm262jSwHuHIYWdopEIgLYOsMPUQfPgmpKGiEfJW66rfoBPr7zdkOhwo0rJq5kQwOgjOuQrgNmAesA6Y45xbKyL3i8h5IQ4/EVglIiuAucBNzrndzWtxO2HlKyrEnXZk/f1iusC4S+CbdwKnCtSHL3WsfwtEInQfqJFt/uKKB/fDGzdCfB84+3fNb4NhNBOtx4kAXr3tuukMo/sm0qtbZxZuaGNOhBJvZSq+T3Vbj0HtM50hVCqDj1Hn6ICf2YgQtIZSVQlv3KAOhJNmqUOnMV7rYOzNhufPUT2Ia96Ga9+FSdfD53+E2TM1rNow2iuLn9QIpMk/Ct3XR1SURiPkrdEoBIlSUcVw6JYSOp1hf4Fua6czgObYDj4pdCWEwqzwyzuC3lN8avBIBF9FGl86VyCGna7bQLaFq4fgo/sASJsU2omQuVC3oZwTg0/SfyewdAajQ+Gce885N9w5N8Q596DXdo9z7p0Afac555Z67193zo3xyjse6Zz7Z0vb3ibZk6kP+BMuD17py5+JV0JFKXz7fsOus22xpmrFt4AORXQn6FWrQsMH92h5yQseN0FFo03TupwIiX0DRiJERQnHDU1m4YZduHBKdLUWfGrd/pEIPQdB6e6Ge05bK2VFOvDXV5nBn8EnQ6cu+gDRnDgH796pK6Vn/FqV0DNO0GiExgrx+FO0XYXSSgvhe29C3/Gav3fO7+HsRzVl45lTYNeGw7+WYbQ2yvbC8hc0dL6hYnt9xmgkwrp/aThpoNSDQHRLDh2J4HMyBDvnoBN18hbsgb/igDp/k8KszOAjITV4JMLWz7WEZcrI4Mf3GqIO5kApDZkLdVUuNj58e8ZepJEeBZuC99myUCfSiSFKNnbpAWlH6XtzIhiG0Vxs9SIEwo1O63ekjq2Zn4Z/DedUx6clUhl8pAyvTmfY8AEseRqOuQ0GT2s5GwyjGWhdToSEfireFMBRcPywZHaVHGB9XnEEDGskxZ4TwaeJAJrOAO0npcEnkNZnXHj9O3eFoaeoE6EpHuaDMf8hdRgc/zM45hZtm3Sdhhb76p43lpId8MJ5ur36jbphd0f/AK55Rx0MT0+Hhb+DBb+B9++CN2+G2ZfDszPUydGWnGKG4WPZ8xqBc8ytDT+2z1gNjd+xNnRVBn+69Q6djnQonaFX4P0+XYFgkVB7s3WblB6+XeA5EeqJRBh4bP0aCyIajbDlUygvrW5vqB6CD59Q19o3Au+vrFC7wk2R8AlfWjqDYRjNxfaVENNV0xnCISpKx8YtC8O/xq4NupDXEqKKPpJHaKra3mx4+1boPQam/2/LXd8wmonW5UToM1pLXQVYvT1hmK4sLdzQhmrpHkpn8NdE8Mo8tpeUhvzVug03nQG0FFxxrop/NQeLn4JPfwtHfA9OucfvuudqmPPSZxt/7n0F8ML5+mNw1T+g/9GB+2UcBzcu0MiTj+6HBQ/pym3mQj32QAkseUZVzw2jLVFZrv/HMk6AfhMbfnyqn8NxZJgrTqDpDKW79QE4GPu9tONgToTUCRCbGNqJ0JB0BvBS8QJEIhTnwe5N9esh+Bh2uobm/n/27jw+yvLc//jnmqxAQsISdsImgkEQFQEVrK0b1gpWWwu2PVoXjq1WT622tfVnW09XPe3phrVUrbZa0dpWUbEc6y6LgrLILiAQ9rAFQsh+//64Z8gkTJKZbDNJvu/XK6+ZeZ5nZu5hmcxcz7WET6/Jf9eXYcUaRMga4Ot9V9cx6nHXCv+7tq7RjrVNuNlnWXUfGts6RESitWuF//0QzaSfkMGT/ZSGaEeHh/oh5J4d+/oaK+dkwPkTSMcOwpWzISW99Z5fpIUkVhAhdFZky4lRxb5ZnRjeK6Nt9UU4ssd/YA1vOHg8E6GdBBF2r/Jd02NJcz35El/ju+7F5l2Lc/6L+svf8oGKz/yqZl1dciqc/iXf2LFwR92PU5fNb8AfPwkHNsOMOQ1/McgeCDe9AXdtgv+3D767A76xCr76Dtz0mg8o/d899X8pEkk0a56Hw9t9OmZj9ApOcek1KrYvpaEShVDfg0iO7vPvR0kpkfcnJfsPj3UGEfL9ZSyNFcFnIpQU+oZZ4Y73Q4giiDB4ki/1+mh+9bYt7/imjY1JvR11pe9XEz5arKgA3rwf5szwTSajzUTo3N33e4mmTllEJFZVVb4Eq+9psd0vFAiNNhsh/10fZO5xUmzP0xShUrY9H/oMhFhOuokksMQKInQf6ksa6viAN2l4T977+AAl5W2k833R7ppNFQHSu/o3sPZSzrBntS9liOXDZefu/kx9cwURqqp8h94/nAdzv+4/GF/1iP/CUNuZ14GrhGV/if7xjx2C52/1GQiBZF+qMPQT0d03EPBffmp/qUlOhYt+CAVrYfmT0a9FJJ6cg4W/9Y2iQs0AY5WWCWOmV5cZRatLsAlWfX0RivfVnYUQMniS74sQof8Oh/IBi732PzTmsahWScPWhZDSxWdANCQlvbrxY6jM6eO3fd1vLP0QQvKmAuYbLO5e5dNo/3cUvP5jP0nmP56vWWonIhIvBzb5ErlYgwg5p/j3/AgnHyPatthnabVmQLTHSZCU5j+bNjb4LpKAEiuIYOY/4G15J2Kt+HnDcyitqGLploNxWFwjFO09MYgA7WdCQ0VpMIgQZVPFcCMvh30bap4li1VVJaz6Ozx0LjzzZV8/PO1B3+iwrlSx7kNg2AW+pjuaDIB1L8GsCbD8r3Duf8FXFzRfLd0pU/0vs9d/4ssbRBLd1oV+xvbZX6u/xr8hV/7BZwXFIvSF92g9fRGK90eezBAuVBqwdcGJ+wrzfUAgOTW2tYWa59bui7B1oX+/iBTQjGT4RT7AvH+jf0/Y+UHspQwhXfv5rIu3f+HfI1f9w/+Z37IEvvSsD+SKiCSCXSv8ZaxBhPC+CA31mAqVl7XGaMdwyWlw/cvwhSea9ntTJMEk3r/mwZP8h8R9J365nDC0OylJ1nb6IhzZDZkRggjdhyRmOUPxAfjf0bDi6eiOX/kMlB+NfkRbuFAtdCzZCJUVPviy8VVY/Ht4cCI8e70PJlz5MNzyHpz+xbpTmUPGfcX3ZKhv1FtRAfztOphzjT8DetOrPnMgpVP0622IGVz8I3/2ctHvmu9xRVrKot9Bp+5w2ozWf+7jmQj1lLQd3d/wtIe+ob4IEc5cHdoWez8EqM5ECO+LUHzAN4+MppQhJHzUY2P7IYSbeLP/fXPhD+Ebq+EzvwzW54qIJJBdyyEptf4pNnUZPNmX2DX0uXpNcDJnY7PomqL/mdApu/WfV6QFRXl6pBUNCeuLkDOixq7OqcmcOagbb3+0j7vjsLSYOOdHPIY3VQzpNtifQa8sb/gLb2ta+ggUboPXfuRHhNW3tqoqn9bcZ3TjxtRkDYB+p/sgwuQ76j7uvT/6D9T7N/nmOVVh2QO9RsHn/uQ7kcfSiOfkKf5D/9JHIzd227kMnprhz2p+6h6fgdBSf08Dx0PeFbDg177UIjPCvxeRRFByGNa/DOfe3rzBtGiFggMNlTP0a+BMViDJf7GPVDZXmF89zjAWkTIRti32l4NiOOOfnevTczfM98GSQDLkNmEUWd606kkNIiKJatcKn9XamM9aQ87zl1veqb/PzqpnoVeeb+IuIk2WeJkI3Yb4etQ6+iJMHp7Dml2HKThS2soLi1HpESgvjpyJ0G0IuKrou8m2hvISeHe2/7Mv3AYr5tR//MZX/Nzbc25rfG3ZyM/48WWHd0bev/o5mHenT+/tM9o/19TfwXXz4I51vrTg1CtjCyCA/yV1xn/Axn/7sTu1n/PRS/2H95teg/PuavlAz4Xf9wGl13/css8j0hS7VwIu+mZ8zS092/+/rCuI4Fx05QwQ7IuwsWZfhKoq33A11qaKAJ26+ZrX8EyErQv8tn5n1H2/SIZf5MsgNsz3AY3ULrGvR0SkrXDOBxH6NmLaD/iRkF161d9c8dA2n9116lWNew4ROUHiBREa6IsQGvW4YGOCT2kIzTOP1BOhe3DMY0uXNJQc9j0HGqoTA1j5tC8jueJB/0b+9i/q7xmw4DfQdQCM+mzj1zfyM/5y3Usn7juUDy/c5j+Af3UhXP24/7J9xpd9LW/Xvk1rjHPGf/j7f/C4v+0cvPUA/O1aH7C46bWao+haUvehMH4mLHsC9qxpnecUiVVoJGtjxjo2BzNf0lBURxCh9AhUljVczgBhk4DCgtVFe6CqvHHlDGY+GyE8E2HrQhgwLvZRXsMv9uvYu7pppQwiIm3Boa1+uk2s/RBCjn9vqKcvwqp/+EsFEUSaTYNBBDN71Mz2mtmqOvafb2aFZrY8+HNvk1c1eLI/21Sw/oRdo/pl0a1zSuKPegx16Y7YWHGwv2yuCQ3OwYfPwr9/4Ov4Z58PPx8CPxsIs86Ct/6n/vsfL00YA0M+4c++H/zYl1xEsuN92PoOTPxq087S54zwXWtr90WoqoR/zPSXn3ukZTIBsgbA8Evgg7/4Lx//mOnLOEZfDde+0Ppdy8+703etf6Xp/32kbTOzKWa23sw2mtl36jjmajNbY2arzeyvYduvNbOPgj/XNuvCdi7zZ+mj+ZLeUrrk1J2JUBz8ndDQdAbwAcK0rJp9EY6Pd8xt3Noy+1YHEUqP+DNrsfRDCMmdCKmZ/rqCCCLS3jW2qWK4IZN9Jtj+TZH3r3oW+o+rPoknIk0WTSbCY8CUBo552zk3NvhzX5NXFfrgFKHxVVLAOOeknrz9UQEumjPs8RL6MBmpxj2jDySnN9+Ehm2L4e83wMLf+TfjTt1g1BVw0X1w0kXw1v31T0H4aL4feXbu7T6iO+LTvt/A2//jv8jXtvC3/gP4mU38jmIGIy/zZwOPhU3cePuXsG0hXPaL2ObIx2rc9T77YtYE+PAZ3//gytmxnzlsDp27w3nf8mUim15r/eeXhGBmScAs4FIgD5hhZnm1jhkO3A2c65wbBfxXcHt34PvABGA88H0z69Zsi9u5vGkf8ppDvUGEA/4ymnKGSH0RQuVljclEgJqZCPnv+VGyjQkiJKXAsE9CIKX1u4iLiLS2XSt8qVqvJvQqGBzqi/DWifsKNsDuD5WFINLMGgwiOOfeAg60wlqqdRvsU+Xr6Itw3vCe7D1Sykd7E3gsXtEefxkpEyEQgOxBzZeJsOZ5X3v7rc1w2zI/4vAz/+uDAlc8CCmdfWlAVVXk+y/4jT/DGGrAFQj4M+P7NsCa52oee3CLf75x1/kz50018nLfLHFDcFJC/nvwxk9h9OdhzBea/vj1OekC38is+AB8/nGfgdGas4NrG3+T/3fx7A0w54t+9OOauT6yXtffnbQ344GNzrnNzrkyYA5QuzPeTcAs59xBAOdcaObhJcArzrkDwX2v0HAAODrHDvnRWP1Ob5aHa7QuOXVPZwht7xJFJgL4M1cHNlX3ZDmeiTCgcWsLz0TYuhAsCQaMb9xjXfRDmP6k+iGISPu3c7lvKNuUEzg9hvn34Eh9EVY9C1jTym9F5ATNNZ3hbDNbAewE7nTOrY50kJnNBGYC5ObWkzJq5j/gffSKT9Wv9cVu0nA/6uutDQWc3LsZvsi2hKI9flxNpzpOBHYf0jxBhKoqWDsXTroQ0rueuD+jF1zyE3j+a/D+n+CsG2ru377Un/W/5Kc1ywbypvlmNW/9D+R9tnq27aIH/YfjCTc3fe3gG4dl9IF1L8CIKT6jImuAz0Jo6S/0gST4cjBI0mNYyz5XNJLT4POPwcLfwJ7VsH6eb8AJkNLFj2bLHgTdBvngR/Zgf5mW4XtIFOb72sJD2/xPSaEfx9e5h09B7xy8ntnPfxnMyGl4TaVF/nGy+jfuNR3Z7f+N7VgKBzb79eeM9KUsPU+u/jdbVemDVjs+8GnzOz/wmTp9x/jMpMHn+TUnp9b/fGVH/XMW7fUlRUV7/U/ZUT+OtKwYyo/56xVl/qxzz+F+LT1P9pkvyWmNe63Noz+QH3Z7Oz6zINzJAGa2AEgCfuCc+1cd923kX1wtoXTTuAcRevpMhAi/F2IqZ4CwjLd3YMzV/v9Qenbjg6OZfaDsiC9l2LrQ945Iy2jcY3Uf2rJZWCIiiSDUVPHkJsa7zXwp9OY3av5+cM6X5g6e5HtpiUizaY4gwgfAIOdckZl9GngOGB7pQOfcbGA2wLhx4+qvRRg8CVY8BQXroNcpNXb1z+7E0JwuvLNxHzdOTtAPWkf2+CyEur4IdxviI6aRPgzHYucHcHgHXFBPLf3Ya3zjxH//AEZcCl37Ve9b+BtIz/INC8MFkmDynfDPmbD+JTjlcn/GftlffJZA+GM0RSDgxyyumANzv+67o18/36+pNSRC8CBc/zN8IAH8F96CdbBnlQ8qFKz3KXnr5/kGcnXp3NN/OU7Pru4tUrzPTwsJl5Xrn2/AOB/M6drfP9/ulbB7lX+uA5sB55ttnjbDpwPWFXyoKPMfBvIXw/YlsP19P7sZfKpi1kA/IjB87Zn9/JevgvX+iz1AaoZ/vpGf9mcoXvuR357S2ad3DzgLKkp8J/6j+/xrO7rP3y6LkJ1kSf4xUzpBamf/OCmdfLr4lgX+/8bxYwPVPUsSVzL+PfZ8YADwlpnF1AU06oBuyK7l/jLeQYSMXlBxzP891/6yX7zfX0ZTzgDQ+1T/PrPlbR9EKNze+FIG8GfBwE982bEUJvxn4x9LRKQjOLzT/w5vjlK5IZN9aWrBeug10m/btcJP4jnn601/fBGpoclBBOfc4bDr88zsQTPr6ZxrWufD8LNEtYIIAOcNz2HOkm2UVlSSlhzjiL/WULQ7cilDSLfB/kvT0X3RnRGuy5rn/Jeh+qK4ZnD5r+DBs+GlO32arJn/grj2BV/2EOns26lX+dKCN+/3kxSWPuK/iJ5za+PXG8nIz8DSR32ZxKfugYFnNe/jt1Wpnf2X/P61RsRVVfl/X4e2+S8sZUX+C3p2rv8SVFcKdFkxHDvg77PzA98gc/v7J5asgP/32We0LylJTvOR/H99G+Z/14+gG/MF34Rz9wrYugi2LfIZBxXH/P2zc2HgeBjwNd/MqO8Y/8W9ssJn4Oxb73/RF6yHIzvh9C/6SRz9z/DNNsPHdh7d78flbXnH/7x1vy/fOZ5d0dOfte3c049UzQj7yezjszEC9VRulRb5Dxn7PvLZEPvWA8tj+ItqVjuA8G+yA4Lbwm0H3nXOlQMfm9kGfFBhBz6wEH7fNyI9SUwBXfDZIdm5/s87nroE3yuPFpz4nnV0n+81E20JQCAJBp1bXTZXmO+Du40V6n+z7iUfKBt0buMfS0Skrdv+Pjz9JbjuxbpP2BzPcmuGqT/Hp+68XR1EWPWsP4lxytSmP76I1NDkIIKZ9QH2OOecmY3H91nY3+SVZQ/yX4y2vO1rxWuZdFJPHlu4hfe3HOSck+LYLbwuR/bUf5Y7fMxjY4MIzvma+aHnQ6fs+o/tPhTOvxv+/X1f/pA3reHShKRkmPxNmHurDza8O9uXTfQe1bj11mXwZP9Fr1ceTLqjeR+7PQoEfCZI136+k3u0Ujv7n6wBfkxmSNFeX0ZweIcP2PUedWImyKT/8uMnV86BlX+DDf+q3mcBH3A48zq/ntyz/Zf5SJKSoedJ/mfkZdGtu0sPyJvqf8BnPCSlNF+5S1qG/wAT/iHmC39pnseO3RJguJkNwQcFpgPX1DrmOWAG8Ccz64kvb9gMbAJ+EtZM8WJ8A8am27ks/lkIEBZE2Hdiun/xfl/KEMu/i8GTfWZP4Q5fzjDkvMavLZSJEKq/jeX/pohIe7P0UX+SYMnDMOWnkY/ZtcJ/hmiOz5XdBvvvDR+/5b83VFX50Y7DLoh/AFykHWowiGBmT+HPbvU0s+347t8pAM65h4DPAV81swrgGDDdNcfYhFB900fz/RtBrTOJE4f1IDlgvL1xX2IGEYr21N+ZO3TG68DH/oxtY+xa4Wvgz7sruuPPvtWfUZ53l0/lXfaEP6McaYJEyGnTfSbCP2/2mRMtkRKWnAr/+ab/AhBIwKyS9i6jl+9H0ZDeeX7ixwXf97+kd37gUxAHjI/cj6OlNNQXoQ1zzlWY2a3AfHy/g0edc6vN7D5gqXNubnDfxWa2BqgE7nLO7Qcws//GByIA7nPONb0p7rGDPnvkjOadGNkoofGSkSY0hIIIsQhlvK170fczyGpKOUPwfXTfBv/+Wlc/HBGR9q78mM8uBVj+V/+5IVLjxF0rfD+i5mgiG/resOFf/ntD/mJ/cuTCHzT9sUXkBNFMZ5jhnOvrnEtxzg1wzj3inHsoGEDAOfc759wo59xpzrmJzrmFzba6wZP8B8OCdSfsykhL5ozcbrz9UR3jvuKposynjddXzpCdC1jTmiuuneszCaI9o5uUDFN/68/iPTrFp543FBRISvFnocuPQp8xPoW9JWTnqhN5WxFI8iPoJn+z7oae0mjOuXnOuZOdc8Occz8Obrs3GEDAeXc45/Kcc6Odc3PC7vuoc+6k4M+fmmVBOxOkHwJUZyIU7T1x39F91UGGaPU+1fcOWf5Xf7uxkxnAl1ekBN/DGjPaUUSkvdjwLx+YnfxNKDlUHVCobdeK5h0dPGSy//y9d40/aZbcyY8tF5Fm12AQIa7C+yJEcN7JPVm14zC7C0tacVFRCI13rCulG3xEtms/X87QGM75N+Uhk2NL0+o3Fs7+GhzdC8Mvqa4bq8/pX4IRl/mxY/EcgSgirW/nMn/ZHDWrTRVezlBb8b7YMxECAf97JtQ4simNFc2qsxEURBCRjmzlM77E6/zv+tKz9yPEtIv2+nKH5gwihL43bH4dVj/nsywbOyVHROqV2EGE0Ci7LRHmvgKfHu1rUF9cubM1V9WwUBAho54yAfAlDQcaGUTYu9Y3g2tMs5jzvwvjZ/rU9Ggkp8GMv8KwT8X+XCLStu1a7mtNEyE9PzkN0rLqKGc4EP1khnChD53gJ5Y0RagvQq6CCCJtnZlNMbP1ZrbRzL5Tz3FXmZkzs3Fh2+4O3m+9mV3SOitOEMUH/Ij2U6/yGbBnXuebL+9dW/O4UFPF5gwiZOf6nmoLfuMDy6d+rvkeW0RqSOwgAvj6pi3v+PqmWobmZDBmQBbPL0+wIMKR3f6yvkwE8B/MG1vOsOZ5wPzoxVildoZPPxBdFoKIdGyJ0lQxpEvPE4MIFaVQetg34YxVKIiQ3Cn2cojaep3iPxA39N4vIgnNzJKAWcClQB4ww8zyIhyXCdwOvBu2LQ/fFHcUMAV4MPh4HcPqf0JVue+5BTD2i5CUCu8/VvO4UAZYn5gmFDdsyGSfbZvW1ZdcikiLaANBhEm+vqlgbcTdU0/rx4c7CtlUEGE+fLwcz0Ro4INk98F+VF9ZcezPsXauT5nN6BX7fUVEolF8wI8STahzWhi4AAAgAElEQVQgQs6JQYTi4ECgWMsZAHqN8lkWWQOaXq51yU/gKy837TFEJBGMBzY65zY758qAOcC0CMf9N/BzILyudhowxzlX6pz7GNgYfLyOYeUzkDOyOjjQpac/4bXiKd9wMWTXCug+7MRpUE01ODhl55TLIzdzFJFm0TaCCFBnX4Spp/XDjMTKRijaAxh0aeALfmhCQ6zZCAUbfNOYvEi/z0REmkmoH0LfBOiHEJJRXxChEZkEgQCMu75xWV21JaeqQaxI+9AfyA+7vT247TgzOwMY6Jx7Kdb7Bu8/08yWmtnSgoIEbBLeGAe3+KkIY66uGZQ98ytQUuizFEKau6liyEkX+gDGWTc0/2OLyHGJH0QI1Td9/FbE3b26pnPOsB7MXb6D5pgs2SyO7PaR16QGJmj2OsVfbn8vtsdfG+xy2xwfekVE6nI8iNACH/QaK1ImQqjRYmPLES64Fy78ftPWJSIdhpkFgF8C32zsYzjnZjvnxjnnxuXk5DTf4uLpw7/5y9Gfr7l98CToMby6pCGU5dYSv1u69ICb34H+Zzb/Y4vIcYkfRIDqvgjlkacwTDutP1v2F7Nie2HrrGfLO3D/sLqbIhbtabipIkCvPJ+NsPq52J5/zVwYMN5PdxARaSk7l/l0007Z8V5JtS45/gNoZUX1tqaUM4iInGgHED6uZUBwW0gmcCrwhpltASYCc4PNFRu6b/vknC9lyD0nOMY8jJlvsJj/LuxZA7tX+u2JFKAWkZi0jSDCadP9nNmFv4m4e8roPqQmB3h+eSu9R4e6vi5/MvL+oj3R9Sowg1Ov9FkWkUaWRXLgY//mm9eIqQwiIrHYtSIxRjuG65IDuOrAATStnEFE5ERLgOFmNsTMUvGNEueGdjrnCp1zPZ1zg51zg4HFwFTn3NLgcdPNLM3MhgDDgRhTTtugXStg3wZfyhDJ2GsgKc2Pe2yJyQwi0qraRhBhyGQY9Vl4+xdwcOsJu7ump/CpEb14YcUuKipPnOLQrA5uhY/+DywJVsyJODWCI3uq54U3ZNRnwVX6RonRCB3XmNGOIiLRKiqAwvzEaqoIwSACNUsaju4DCyRWxoSItFnOuQrgVmA+sBZ4xjm32szuM7N6P4A551YDzwBrgH8BtzjnKlt6zXH34d8gkFJ3v67O3f2+FU/DtsV+pG7n7q27RhFpNm0jiABw8Y/8h8T53424+4rT+7GvqJRFm/dH3N9s3v+TX8cF9/oP2FtrNXysqvKjZRqazBDS+1RfJ7bqH9Edv+Z53+Ss26DY1i0iEovQ+K22EEQo3ucnLAQ6zhQ1EWlZzrl5zrmTnXPDnHM/Dm671zl3wlkf59z5wSyE0O0fB+83wjnX/ke2VFXCh8/CyZfUHxg48zooLYT186DvmFZbnog0v7YTRMgaAOfdCetehI3/PmH3+SN6kZmW3LJTGipK4YM/w4hLYfxMSM302QjhivdDVUX0mQhmPhth6wKfwVCfAx/Djvc1lUFEWt7O0AzvBPugdzyIEFYCVrxfpQwiIi0pfwm8/B3Y9LrvfxDu47f8yPLaDRVrG3QO9BzhrydaqZyIxKTtBBEAzr7VN/l6+dtQUVZjV3pKElNO7cO/Vu2mpLyFssbWPO8/rJ51A6R2hlFX+G1lR6uPKQoGAqLpiRBy6pXgqhouaVjwa0hK9T0iRERa0s5lPksqvWu8V1JTaAJDjXKG/Y2fzCAiInWrqoQ374dHL4F3fw9/uQJ+dxa8+wc/thF8Q8W0rnDylPofK9RgERJrdLCIxKxtBRGS0+DS+2H/Rlg864TdV5zen6LSCl5btzfy/Q98DP/+YZ1THhq05BEfxBhyvr992gwoK4K1L1YfU7TbX0YznSGk1ymQM7L+kobC7bDsCTj9y5rKICItb+eyxCtlAEjPhkCyLxsLKd6n2loRkeZ2aBs8dhm8/mM49Sq4cyN89g+QngUvfwt+cQq8+A1Y+4Jv+J2S3vBjjrseLv81DP1ky69fRFpM2woiAAy/EEZcBm8+AIU1pzFMHNqDXplpdU9pePWH8M4v4a37Y3/e3R9C/mKfhRAI/rHlng3Zg2DFX6uPC5UkZEbZEyFk1JWwbREcrqMcY8Gv/eWkb8T2uCIisTqyB47sTMx000DAlzTU6ImgcgYRkWa16u/w+0mwexV8djZc9UfIyPHZsDe9CjPf8OW4y/8KZUdgTJRZsinpPhshKbkFFy8iLa3tBREApvzETzT4v3tqbE4KGJef1o/X1xVQWFxe8z6F22HNXB89fedX/ixbLJY8AsnpPvsgJBDwb6ab3/SPD43LRAD/Rozz5RG1Hd4F7z/ux+NkDzxxv4hIc0rUpoohXXpW90SoqoLiAypnEBGJZMcH8Nwt0WfhlhXDc1+DZ6+HnJPh5rfhtC+ceFy/0+GKWXDHWrj2BT9JTUQ6jLYZROg22J+RX/0P38wlzLSx/SirrOJfq3fVvM+SRwAH177oz2I9d8sJfRXqVHLY13ud+rkTU2ZPm+4fd+Uz/vaRPb4uLLVzbK8p52Q/qWH1P0/ct/A3vlmjshBEpDXsXA5Y4jVVDAnPRCg55IPKnXvEd00iIolo+ZOw/AlY9Nvojv+/7/nsgvO+BV/5F3QfUv/xnbvDkPOavk4RaVPaZhAB4NzbITsX5t0FldVZB6P7ZzGkZxeeWxZWFlB+DN5/DEZ82o+UufxXsHe1L22IxsqnofyoL2WorftQX9aw4infrbZoT2xNFcONugLy363OagAo2gtLH/XBiobeyEVEmsPOZdDzZEjLiPdKIuuSA0XBIEJxcKyvyhlERE607V1/+dYvfI+D+uS/B0v/BBO/Cp/6nkoORKRObTeIkNIJpvwcCtb5DrFBZsa0sf1Y/PF+Pt4XnJrw4d/g2AH/pgh+ROPoq+GtB3ytV32cgyUPQ78zoP8ZkY85bTrs2wA7PwgGEWIsZQgZdaW/XP1c9baFv4XKMpj8zcY9pohIrBK1qWJIKBPBueqyhi7KRBARqaHksD9pNvZL/vb879Z9bGU5vPBfvnn3J+s5TkSEthxEAB8MGH4JvPFT3zcg6JoJuaQmBXjw9Y3+Q+bih3ypwKBzq+976c+hUzd4/mtQWVH3c2xd4AMVZ91Y9zGjPgtJabD8KTiyO/amiiE9hvn04dXBKQ1H9/kAxujP+30iIi2ttMj3duk1Mt4rqVuXHKg45sfrFgeDCCpnEBGpacdSP0J89FVw3jf9FIWNr0Y+dvGDPuBw6f2Qltm66xSRNqdtBxHM4NKf+ehpWJPFXpnpzBifyz+X7WDvh6/6N8UJN/vjQzp3h8t+AbtWwMJf1/0cSx72I8VOvbLuY9KzYORlsOpZH0RobCYC+OfZ8T4c3AqLZvlSjMl3Nv7xRERiEZr73albfNdRny45/vJogcoZRETqkv8eWAD6j4NzbvMluC9/68SeYAe3whs/82W/p3wmPmsVkTalbQcRwL8hTvqG/wIf1mTx5k8MI2BGwb9/BZ26w+jPnXjfvGmQd4V/49y7rnp7RRns+8hPc1j7Apz+JV8+UZ+x18Cxg/7sWGN7IkBwSgO+D8J7s/3tnJMb/3giIrEIBRHSusZ3HfUJDyIcVSaCiEhE2xZDr1GQ3hWS03yWwf6NsHhW9THO+f5imN8vIhKF9tExZdJ/+caGL90JX10ASSn0yUrnP8cEGLnmHY6Mv43MuoIAn/4fH3x45svQbYh/cz24xXf7BkjLitxQsbahn4SM3r4nQmYTMhG6Dfb9Fxb8yt8+767GP5aISKxCQYT0rPiuoz4ZtTIRUjP87HEREfGqKmH7UhhzdfW24RfBiMvgzQd8b7Cs/rB2Lnw0Hy7+scaIi0jU2n4mAvgsgUvvh33rYfHvj2+e2ek1HMYfis+v+74ZOX5aQ9EeOLwD+oz2mQ1XPAQ3vgrf+NBnOzQkKdn3LgAfTGiKUOnEKZdD77ymPZaISCxKD/vL9Oz4rqM+tcsZlIUgIlLT3jVQdgRyJ9bcPuWn/kTZ/33PN158+dv+s++Em+OzThFpk9pHJgLAiClw8qW+NOHUqyA9i8zVT7Ei+3xmryjly5eU0LtrHWeq8qb5n6aa8J8+i6GpXc1HXw0b5sMn72n4WBGR5nQ8EyGByxlC/Q9C5Qxd1A9BRKSG/OBox4Hja27vNggm3QFv/MSPyj2yG77wpMY5ikhM2kcmQsilP6uOrq6cA6WF9L7ov6iscvzhzc0t//zZuTD9SejUxDN4mb3huhcTuzu6iLRPbaGcISXd92woKvDTGZSJICJS07Z3faPv7EEn7jv3dl8+u/UdP31swJmtvjwRadvaVxCh22CY/E1Y/U947cfQdyx9Rp3HFWP789f3trKvqDTeKxQRSWxtobEi+OyDowVQfECTGUREast/12chhE8mC0lJh2kPwsjPwAX/r/XXJiJtXvsKIoAfYdNtCBw7ABO/Cmbc8slhlFVU8ce3WyEbQUSkLSsphKS0xG9U2KVXWDmDMhFERI47shsObT2xH0K4wef67NlEzjoTkYTV/oIIKelwxYN+dGNwXOLQnAwuP60ff1m0lQNHyxp4ABGRDqz0cNv4UNmlp/+QXHFM5QwiIuGO90OYEN91iEi71f6CCACDzoGrH/czcYNu/eRJHCuv5NF3Po7jwkRE6mdmU8xsvZltNLPvRNh/nZkVmNny4M+NYfsqw7bPbdQCSgoTu6liSJccOLTNX1c5g4hItW3vQnI69BkT75WISDvVYVqxDu+dyadP7ctjC7fwH2cPolddkxpEROLEzJKAWcBFwHZgiZnNdc6tqXXo0865WyM8xDHn3NgmLaKksI1kIuSEXVcQQUTkuPx3od8ZkJwa75WISDvVPjMR6nDHxSdTUVXFXc+uxDkX7+WIiNQ2HtjonNvsnCsD5gDNMH82BiVtpJwho1f1dZUziEgziyIr7GYz+zCY+fWOmeUFtw82s2NhWWEPterCy4/BrhWQq1IGEWk5HSqIMCwng+99+hTe3FDAnxdtjfdyRERq6w/kh93eHtxW21VmttLMnjWzgWHb081sqZktNrMr6noSM5sZPG5pQUFBzZ0lhYk/mQFqZh8oiCAizSgsK+xSIA+YEQoShPmrc250MPvrfuCXYfs2OefGBn9ubp1VB+1cBlXl6ocgIi2qwSCCmT1qZnvNbFUd+83MfhOM1K40szOaf5nN50sTB/HJETn8ZN5aPtpzJN7LERGJ1QvAYOfcGOAV4PGwfYOcc+OAa4BfmdmwSA/gnJvtnBvnnBuXk5NTc6fKGUREGswKc84dDrvZBUiMFNdti/3lgPHxXYeItGvRZCI8BkypZ/+lwPDgz0zg901fVssxM+7/3GlkpCVz+5zllFZUxntJIiIhO4DwzIIBwW3HOef2O+dKgzcfBs4M27cjeLkZeAM4PeYVtJnpDMEgQiClbWROiEhbElVWmJndYmab8JkIt4XtGmJmy8zsTTObHOkJ6s0Ia4r896DHcI2+FZEW1WAQwTn3FnCgnkOmAX923mIg28z6NtcCW0JOZho/v2oMa3Yd5pf/tyHeyxERCVkCDDezIWaWCkwHakxZqPX+OhVYG9zezczSgtd7AucCtRsy1q+iFCpK2s50BvClDGbxXYuIdEjOuVnOuWHAt4F7gpt3AbnOudOBO4C/mtkJb6r1ZoQ1fkG+qaL6IYhIC2uOngjR1vC2XNS1ES7M6801E3KZ/fZmFm7aF9e1iIgAOOcqgFuB+fjgwDPOudVmdp+ZTQ0edpuZrTazFfgzX9cFt58CLA1ufx34WYSpDvUrCWbnpmc38ZW0gvRsCCSrlEFEWkKDWWG1zAGuAHDOlTrn9gevvw9sAk5uoXXWtH8jHDugfggi0uJadcSjc242MBtg3Lhxca8du+eyU1i8aT/ffGYF/7r9PLI6p8R7SSLSwTnn5gHzam27N+z63cDdEe63EBjdpCcvKfSXbaGcIRCAzj2hc/d4r0RE2p/jWWH44MF0fK+Z48xsuHPuo+DNy4CPgttzgAPOuUozG4ov993cKqsO9UMYOLFVnk5EOq7myESINVqbMDqnJvOr6WMpOFLK9577UGMfRaRjCwUR2kqPgcGT9GFZRJpdlFlhtwazwpbjyxauDW4/D1gZ3P4scLNzrr6y4OaT/y506gY9TmqVpxORjqs5MhHm4t9I5wATgELn3K5meNxWMWZANt+46GQemL+eEb0z+foFw+O9JBGR+ChtQ5kIAJ97JN4rEJF2KoqssNvruN/fgb+37OrqkP+uL2UIdKgJ7iISBw0GEczsKeB8oKeZbQe+D6QAOOcewr/BfhrYCBQDX2mpxbaUr35iGJsLjvKLVzaQ3SWVL08cFO8liYi0vuPlDG0kE0FERLziA7BvA5w2Pd4rEZEOoMEggnNuRgP7HXBLs60oDgIB4+dXjabwWDn3Pr+KrunJTBsbsTekiEj71ZZ6IoiISLX89/ylSrxEpBUo3ykoOSnA7645nbMGd+ebz6zg9fV7470kEZHWdXw6g4IIIiJtRlUVLH4QUrpAv9PjvRoR6QAURAiTnpLEw9eOY0SfTL76xPss3dI6fXBERBJCSSFYAFIz4r0SERGJ1sJfw8dvwpSfQmrneK9GRDoABRFq6ZqewuPXj6dfVieuf2wJa3cdjveSRERaR0mhn8xgFu+ViIhINLYvhdd+BHlXwBn/Ee/ViEgHoSBCBD0z0vjzDePpkpbMlx95j80FRfFekohIyys9rFIGEZG2oqQQnr0eMvvB5b9WAFhEWo2CCHUY0K0zf7lhPM45ZvxxMVv2HY33kkREWlZJoSYziIi0Bc7Bi3dA4Xa46mHolB3vFYlIB6IgQj1O6pXJkzdNoKyiihl/XMy2/cXxXpKISMspOQzp+iAqIpLwVjwFq56F8++G3AnxXo2IdDAKIjRgZJ+uPHnjRI6VVzLjj4vJP6BAgoi0UyWFKmcQEUl0+zbCS3fCoEkw+Y54r0ZEOiAFEaKQ168rT9wwgSMl5Vzz8GJ2HDoW7yWJiDS/UGNFERFJTBWl8PfrITkVrpwNgaR4r0hEOiAFEaJ0av8snrhxAoeKy7nmj4vZVahAgoi0M2qsKCKS2BbNgl0rYNosyOof79WISAelIEIMxgzI5i83TOBAURkzZisjQUTakarKYBBBmQgiIgnJOfjgcRg8GUZeFu/ViEgHpiBCjMYOzOax68ez/2gZVz64gHW7D8d7SSIiTVcafC9TJoKISGLatggOboGxX4z3SkSkg1MQoRHOHNSNv918Nobx+d8vYtGm/fFekohI05QoiCAiktCWPwmpGZA3Nd4rEZEOTkGERhrZpyv/+No59M5K59pH3+OllbvivSQRkcYrKfSXaqwoIpJ4yo7C6uch7wpI7RLv1YhIB6cgQhP0y+7EszefzZgBWdz61Ac8tuDjeC9JRKRxVM4gIpK41r4IZUdg7Ix4r0REREGEpsrunMoTN07golN684MX1vCzl9fhnIv3skREYhPKRFAQQUQk8Sx/ErIHQe458V6JiIiCCM0hPSWJ33/pTL44IZeH3tzE4wu3xHtJIiKxOR5EUDmDiEhCOZQPH78FY6+BgD66i0j86Z2omSQFjB9dcSqfGtmLn7y8jrW7NLVBRNqQ440Vs+O7DhERqWnlHMDBadPjvRIREUBBhGZlZjzwuTFkdUrhtqeWcaysMt5LEhGJjhoriogkHudg+VMwaBJ0Gxzv1YiIAAoiNLseGWn88urT+GhvET+etybeyxERiU5JIaR0gaTkeK9ERCTuzGyKma03s41m9p0I+282sw/NbLmZvWNmeWH77g7eb72ZXdKkheS/Bwc2+VIGEZEEoSBCC5g8PIeZ5w3licXbmL96d7yXIyLSsNJCNVUUEQHMLAmYBVwK5AEzwoMEQX91zo12zo0F7gd+GbxvHjAdGAVMAR4MPl7jLH8SUjpD3tRGP4SISHNTEKGF3HnxCE7t35Vv/30luwqPxXs5IiL1KylUU0UREW88sNE5t9k5VwbMAaaFH+CcC29+1QUIjeaaBsxxzpU65z4GNgYfL3blx2D1PyFvGqRlNuohRERagoIILSQ1OcBvpp9OWUUVdzy9gsoqjX0UkQRWokwEEZGg/kB+2O3twW01mNktZrYJn4lwW4z3nWlmS81saUFBQeRVrHsJSg+rlEFEEo6CCC1oaE4GP5g6ikWb9/PQm5vivRwRkbqVHFYQQUQkBs65Wc65YcC3gXtivO9s59w459y4nJycyActfxKycn1TRRGRBKIgQgv7/JkDuGxMX375ygZ+++pHlJRrYoOI1C2KZl7XmVlBsJnXcjO7MWzftWb2UfDn2pieuKRQkxlERLwdwMCw2wOC2+oyB7iikfeNrHAHbHrdj3UM6OO6iCQWvSu1MDPjp1eO5uK83vzilQ1c8Is3eWHFTpxTeYOI1BRlMy+Ap51zY4M/Dwfv2x34PjABX3/7fTPrFvWTlyoTQUQkaAkw3MyGmFkqvlHi3PADzGx42M3LgI+C1+cC080szcyGAMOB92Jewaq/A84HEUREEoyCCK2ga3oKv//SmTx100SyOqXw9aeW8bmHFrEi/1C8lyYiiaXBZl71uAR4xTl3wDl3EHgF3xm8Yc6pJ4KISJBzrgK4FZgPrAWecc6tNrP7zCw0JuFWM1ttZsuBO4Brg/ddDTwDrAH+BdzinIs9DbVgHWT2gx7Dmv6CRESamQaCt6Kzh/Xgha9P4tn383lg/nqmzVrAlWf0575pp5KRpr8KEYnYkGtChOOuMrPzgA3AN5xz+XXc94RmXuAbegEzAXJzc6G8GKoqNJ1BRCTIOTcPmFdr271h12+v574/Bn7cpAUU5kPWgCY9hIhIS1EmQitLChhfOCuX1+88n5s/MYznl+9k5p+XUlqhXgkiEpUXgMHOuTH4bIPHY32AExp6lQQnlSkTQUQkMRxSEEFEEpeCCHGSmZ7Cdy4dyf1XjWHhpv184+nlGgMpIg025HLO7XfOlQZvPgycGe1961RS6C/VWFFEJP6qquDwDsge2PCxIiJxoCBCnF115gDuuewU5n24m//3/Co1XBTp2KJp5tU37OZUfL0u+Nrdi82sW7Ch4sXBbQ0LBRHSs5uydhERaQ5HC6CyDLIURBCRxKRC/ARw4+Sh7D9axu/f2ETPjDTuuOjkeC9JROLAOVdhZqFmXknAo6FmXsBS59xc4LZgY68K4ABwXfC+B8zsv/GBCID7nHMHonriUpUziIgkjMLt/lLlDCKSoBRESBDfumQE+4tK+c2rH9GjSyrXnjM43ksSkTiIopnX3cDdddz3UeDRmJ/0eCaCyhlEROKuMNgjV0EEEUlQUZUzmNkUM1tvZhvN7DsR9l9nZgVmtjz4c2PzL7V9MzN+8tnRXJTXmx+8sJq5K3bGe0ki0lGUBMfNKhNBRCT+FEQQkQTXYBDBzJKAWcClQB4ww8zyIhz6tHNubPDn4WZeZ4eQnBTgtzNO56zB3fnmM8t5de2eeC9JRDoCTWcQEUkchdshNVN9akQkYUWTiTAe2Oic2+ycKwPmANNadlkdV3pKEg9fO468vl25+Yn3mb96d7yXJCLtXUkhBFIgOT3eKxERkcLtPgvBLN4rERGJKJogQn8gP+z29uC22q4ys5Vm9qyZRWwna2YzzWypmS0tKChoxHI7hq7pKfzlxgmc2j+LW578gHkf7or3kkSkPSs97LMQ9IFVRCT+CvNVyiAiCa25Rjy+AAx2zo0BXgEej3SQc262c26cc25cTk5OMz11+9Q1PYU/Xz+esQOz+fpTy3hBPRJEpKWUFKqUQUQkUYQyEUREElQ0QYQdQHhmwYDgtuOcc/udc6XBmw8DZzbP8jq2zPQUHr9+PGcO6sbtc5bxz2Xb470kEWmPSgo1mUFEJBGUHYXi/ZAdMalXRCQhRBNEWAIMN7MhZpYKTAfmhh9gZn3Dbk4F1jbfEju2LmnJPPaVs5g4tAd3PLOCvy3Nb/hOIiKxKDmsTAQRkURQGDxPl6UggogkrgaDCM65CuBWYD4+OPCMc261md1nZlODh91mZqvNbAVwG3BdSy24I+qcmswj157FpJN68q2/r2TW6xtxzsV7WSLSXpQUQpoyEURE4k7jHUWkDUiO5iDn3DxgXq1t94Zdvxu4u3mXJuE6pSbxx/8Yx13PruSB+etZkX+I/7n6NLqmp8R7aSLS1qkngohIYigMlq4qiCAiCay5GitKK0hPSeI308fy/z6Tx6vr9nLF7xawYc+ReC9LRNq6UpUziIgkhMLtYAHI7NvwsSIicaIgQhtjZtwwaQhP3TSRwyUVTPvdAuZqcoOINJqD8mIFEUREEkFhPmT2gyRlmopI4lIQoY0aP6Q7L902iVH9unLbU8u474U1lFdWxXtZItLWVFX6SwURRETiT+MdRaQNUBChDevdNZ2/3jSR684ZzKMLPub6x5ZwpKQ83ssSkbZEQQQRkcRRmK8ggogkPAUR2rjU5AA/mDqK+68aw6JN+/n8Q4vYeehYvJclIm2FCwYRNJ1BRCS+qqr8iEcFEUQkwSmI0E5cfdZA/vSVs9hx8BiffXABq3cWxntJItIWKBNBRCQxHN0LVeUKIohIwlMQoR2ZPDyHv331bJLMuPqhRby+bm+8lyQiic4piCAikhAO5fvL7Nz4rkNEpAEKIrQzI/t05Z+3nMuQnC7c8PgSnli8Nd5LEpFEdjwTQeUMIiIhZjbFzNab2UYz+06E/XeY2RozW2lmr5rZoLB9lWa2PPgzN+onLQwGEZSJICIJTkGEdqh313Sennk254/oxT3PreLy377DH97cxPaDxfFemogkGpUziIjUYGZJwCzgUiAPmGFmebUOWwaMc86NAZ4F7g/bd8w5Nzb4MzXqJy7c7i8VRBCRBKcgQjvVJS2Z2V8+k+9fnkfA4Kcvr2PSz1/nygcX8KcFH7P3cEm8lygiicBVAgapmfFeiYhIohgPbHTObXbOlQFzgD/+txgAABIKSURBVGnhBzjnXnfOhc7OLAaa/s2/cLtvcqugrogkOAUR2rHkpABfOXcIz986iTfvOp+7LhlBcVklP3xhDRN++io/e3kdlVUu3ssUkXiqqvQfWgP6dSAiEtQfyA+7vT24rS43AC+H3U43s6VmttjMroh0BzObGTxmaUFBgd9YuB2yBjZt5SIirSA53guQ1jGoRxdu+eRJ3PLJk9i49wh/eHMzD725iTW7DvPb6aeT1Tkl3ksUkXhwlTrrJSLSSGb2JWAc8ImwzYOcczvMbCjwmpl96JzbFH4/59xsYDbAuHHj/Bmdwm0qZRCRNkGnnjqgk3pl8sDnT+PHnz2VRZv2MXXWO2zYcyTeyxKReKiqVFNFEZGadgDhKQEDgttqMLMLge8BU51zpaHtzrkdwcvNwBvA6VE9a+F2BRFEpE1QEKED++KEQTx100SOllby2VkLmL96d7yXJCKtrUqZCCIitSwBhpvZEDNLBaYDNaYsmNnpwB/wAYS9Ydu7mVla8HpP4FxgTYPPWFoExw4qiCAibYKCCB3cuMHdefHrkzipdyb/+Zf3+eUrG6hSnwSRjkPlDCIiNTjnKoBbgfnAWuAZ59xqM7vPzELTFh4AMoC/1RrleAqw1MxWAK8DP3PONRxEOBxMdFBPBBFpA9QTQeiTlc7TMydyz3Or+M2rH/Hauj18e8pIJg/PiffSRKSlhRoriojIcc65ecC8WtvuDbt+YR33WwiMjvkJC4N9HLMVRBCRxKdMBAEgPSWJBz43hl9PH8vBo+V8+ZH3+OLDi1m5/VC8lyYiLUmZCCIi8XcoGERQOYOItAEKIshxZsa0sf157c5PcO9n8li76whTf7eAW578gI/3HY338kSkJVRVKYggIhJvhdvBkiCjT7xXIiLSIAUR5ARpyUlcP2kIb951PrddMJzX1+/lwl++yY9eXMPR0op4L0+kXTOzKWa23sw2mtl36jnuKjNzZjYueHuwmR0L1uYuN7OHontGp+kMIiLxVrgduvaDJFUai0jiUxBB6pSZnsIdF53Mm3d9kqvHDeThdz7m4v99i9fX7234ziISMzNLAmYBlwJ5wAwzy4twXCZwO/BurV2bnHNjgz83R/3EykQQEYkvjXcUkTZEQQRpUE5mGj+9cjR/u/lsOqUm8ZU/LeHrTy2j4Ehpw3cWkViMBzY65zY758qAOcC0CMf9N/BzoKRZnlWNFUVE4qswX5MZRKTNUM6URO2swd156bZJ/OHNzfzutY28taGA7356JGfkdqPgSCkFRaX+Mni9a3oKud07k9u9M4N6dGZg986kpyTF+2WIJLL+QH7Y7e3AhPADzOwMYKBz7iUzu6vW/YeY2TLgMHCPc+7tSE9iZjOBmQBn9g0oE0FEJN4O71Amgoi0GQoiSEzSkpO47YLhXDamL3f/40O+/fcPTzgmNTlAzy6pFB4r52hZZY19vTLT+NTIXtw4eQgn9cpsrWWLtAtmFgB+CVwXYfcuINc5t9/MzgSeM7NRzrnDtQ90zs0GZgOM65fkFEQQEYmjynKoqlAQQUTaDAURpFGG5WQw56aJvLZuL8fKK8nJTCMnM42eGWl0TU/GzHDOceBoGVsPFJN/oJht+4vZWFDEP5ftYM6SfC4Y2YubzhvKhCHdMbN4vySRRLADCM9nHRDcFpIJnAq8Efw/0weYa2ZTnXNLgVIA59z7ZrYJOBlY2uCzKoggIhI/lWX+UuUMItJGKIggjRYIGBfm9a5zv5nRIyONHhlpnJHb7fj2/UWlPLF4G39etIXpsxczun8WN04ewqdG9iIzPaUVVi6SsJYAw81sCD54MB24JrTTOVcI9AzdNrM3gDudc0vNLAc44JyrNLOhwHBgc1TPqiCCiEj8HA8iKBNBRNoGBRGk1fXISOP2C4fzn58Yyj8+2MHDb2/m9jnLAchIS6Z31zT6ZnWiT1Y6fbqmc0rfrkwc2p0eGWlxXrlIy3LOVZjZrcB8IAl41Dm32szuA5Y65+bWc/fzgPvMrByoAm52zh2I6onVWFFEJH4qy/2lgggi0kYoiCBxk56SxDUTcpl+1kDe+qiA9buPsKuwhD2HS9hVWMKCjfvYe6SUyioHwIjemZw9rAdnD+vBxCE9yOqsrAVpf5xz84B5tbbdW8ex54dd/zvw95if0AKQnBrz3UREpJlUlvmMsHQFdEWkbVAQQeIuEDDOH9GL80f0OmFfeWUVq3YUsmjzfhZt2s+cJdt4bOEWzKB/dif6ZXeiX1Y6fcOuD++VycDundRnQSQaAU1MERGJq8oyyBoW71WIiERNQQRJaClJAU7P7cbpud342vknUVZRxYrth1i0aT+bC4rYeaiEpVsPsnvlLiqCGQsA3bukMnZgNqcPzGZsbjZjBmST1UmZCyInMAURRETiqrJMpQwi0qYoiCBtSmpygLMGd+eswd1rbK+scuwrKmXHoWOs3XWY5dsOsSz/EK+t23v8mO5dUumUkkSn1CQ6pyaRnuIvu3dOZUC3Tgzo3pkB3ToxsFtn+mSlk5IUaO2XJ9L6lIkgIhJfleWazCAibYqCCNIuJAWM3l3T6d01nTNyu/HFCYMAOFxSzsr8QpZtO8ieIyUcK6viWHkFx8oqKS6r5MDRMjbsPsLuwyWEJTKQFDAy05NJSQqQEjCSkwKkJBkpSQEy0pKPj7TMyUijV1d/vVdmOn2z0uneJVWlFNJ2KIggIhJfVRXKRBCRNkVBBGnXuqanMGl4TyYN71nvcWUVVewuLGH7wWK2HzxG/sFiDhWXU1FVRXmlo6KyivIqR3lFFUWlFWzcW8TCTfspPFZ+wmOlJgXonZVG365+wkTPjDQy0pPJTEsmIz2ZLmn+etdOKfTMSKVHRhpdUpMUeJD4UDmDiEj8KYggIm1IVEEEM5sC/Bo/cuxh59zPau1PA/4MnAnsB77gnNvSvEsVaTmpyQFye3Qmt0fnmO5XWlHJvqIy9h4uYc/hUnYXHmPX4RJ2F/oJE8vzD7G/qJSjZZX1Pk56SoAeXdLomZFKz4w0egSDCz26VN/u1jmV9JQAacm+JCM9JYn05ADJKruQplAmgohI/KmcQUTakAaDCGaWBMwCLgK2A0vMbK5zbk3YYTcAB51zJ5nZdODnwBdaYsEiiSQtOYn+2Z3on92p3uOqqhxHyyo4WlpJUWk5R0oqOHSsnANFZewrKmX/UX+5r6iMXYUlrN55mP1HSymvdPU+LvgASFanFLI7pfjLzilkdUqla6dkOqcm0Tk1mU7B/g+dgrfTUwLBIETS8etpwYBEUsBISTJ/GQgQCChDol1TJoKISPwpE0FE2pBoMhHGAxudc5sBzGwOMA0IDyJMA34QvP4s8DszM+dcw9+ARDqAQMDITE8hMz0FSI/qPs45DpdUsD8YXDhUXEZJRRUl5ZWUlldSUl7FsfJKjpZVcPhYOYeKyyk8Vs7OQyWs3XWEw8fKKS6vpLKq6f8NkwJGkhmBAAQsdN0w87cDBha6xG8PhR7CyzTM/A9UH+evE3ZM2PHhi7CIV2uItSRE4RGUiSAiEm9mkNkn3qsQEYlaNEGE/kB+2O3twIS6jnHOVZhZIdAD2Bd+kJnNBGYC5ObmNnLJIh2DmZEVzC4YmtO4x3DOUVZZdbyRZHFZBcfKqiipqKQkGIjwl5WUVlRRWeUor/SXFVWOikpHRVUVVc5RWeUfr7LKUekcVVUOB1Q5h3NQ5fz+0G0AB2HXnd9wfLs7fr16vWHXa72OSNtrvtgY/2zqucO/Y3uoti25/iwaERFpYZ26K6ArIm1KqzZWdM7NBmYDjBs3TlkKIi3MzEhLTiItOYns2No9dGi//1K8V9CK0rvGewUiIgknin5gdwA3AhVAAXC9c25rcN+1wD3BQ3/knHu83ifL1ok1EWlbounItgMI7/YyILgt4jFmlgxk4RssioiIiIi0GWH9wC4F8oAZZpZX67BlwDjn3Bh8Ke/9wft2B76Pz9odD3zfzLq11tpFRFpDNEGEJcBwMxtiZqnAdGBurWPmAtcGr38OeE39EERERESkDTreD8w5VwaE+oEd55x73TlXHLy5GH+SDeAS4BXn3AHn3EHgFWBKK61bRKRVNBhEcM5VALcC84G1wDPOudVmdp+ZTQ0e9gjQw8w2AncA32mpBYuIiIiItKBI/cD613P8DcDLsdzXzGaa2VIzW1pQUNDE5YqItK6oeiI45+YB82ptuzfsegnw+eZdmoiIiIhI4jKzLwHjgE/Ecj/1CRORtiyacgYRERERkY4imn5gmNmFwPeAqc650ljuKyLSlimIICIiIiJSrcF+YGZ2OvAHfABhb9iu+cDFZtYt2FDx4uA2EZF2o1VHPIqIiIiIJDLnXIWZhfqBJQGPhvqBAUudc3OBB4AM4G9mBrDNOTfVOXfAzP4bH4gAuM85dyAOL0NEpMUoiCAiIiIiEiaKfmAX1nPfR4FHW251IiLxZfGaxGhmR4D1cXny+OgJ7Iv3IlpZR3vNer3txyDnXE68F9Ea9F7c7nW01wsd7zW319er9+H2q73+m61PR3vNer3tR8T34nhmIqx3zo2L4/O3KjNb2pFeL3S816zXK22U3ovbsY72eqHjveaO9nrbKb0Pt3Md7TXr9bZ/aqwoIiIiIiIiIlFREEFEREREREREohLPIMLsOD53PHS01wsd7zXr9Upb1NH+HvV627+O9po72uttjzra32FHe73Q8V6zXm87F7fGiiIiIiIiIiLStqicQURERERERESioiCCiIiIiIiIiEQlLkEEM5tiZuvNbKOZfScea2hJZvaome01s1Vh27qb2Stm9lHwsls819iczGygmb1uZmvMbLWZ3R7c3p5fc7qZvWdmK4Kv+YfB7UPM7N3gv+2nzSw13mttTmaWZGbLzOzF4O12/Xrbs/b+Pgx6L27v78V6H9b7cHvQ3t+L9T7cvt+HQe/FHfW9uNWDCGaWBMwCLgXygBlmltfa62hhjwFTam37DvCqc2448GrwdntRAXzTOZcHTARuCf6dtufXXAp8yjl3GjAWmGJmE4GfA//rnDsJOAjcEMc1toTbgbVht9v7622XOsj7MOi9uL2/F+t92Gvvr7fd6iDvxY+h9+H2/D4Mei8Oae+vt4b/397du8hVhmEYvx6SiIJI8IMQskoQBCvRRhAtgmCjwViICAr5FyxE0EYQbCX2KqSQSFDRtIIBrUT8AAsbFURlTQoJaqOot8U5i0OwmGJnD/u81w8WzjkzsO8DM1fx7szZJT6JcC/wTZLvkvwJvAWcWmAdG5PkI+CXqy6fAs7Ox2eBx/Z0URuUZDvJ5/Pxb0xvqGP0njlJfp9PD80/AR4E3p6vt5q5qraAR4DX5vOi8bzNte8w2GKat9gO2+EG2rfYDvfuMNji+Xy4Fi+xiXAM+GHl/Mf5WndHkmzPxz8DR5ZczKZU1XHgHuATms88f4zpS+Ay8AHwLXAlyV/zU7q9ts8AzwH/zOc30XvezkbtMDTv0o5RWmyH7fA+N2qL2zZp1SgdBlvMgC32xooLyPR/Ndv9b82quh54B3gmya+rj3WcOcnfSe4Gtpj+mnDnwkvamKo6CVxO8tnSa5F2S8cuwVgttsPS/tatSTtG6jDY4hEdXOB3/gTcunK+NV/r7lJVHU2yXVVHmXbq2qiqQ0yxfDPJu/Pl1jPvSHKlqi4C9wGHq+rgvBPZ6bV9P/BoVT0MXAvcALxK33m7G7XD0LxLo7bYDrecdwSjtrh1k0btMNjipvP+ryU+ifApcMd8B8trgCeBCwusY69dAE7Px6eB9xdcy66avwf0OvB1kldWHuo88y1VdXg+vg54iOl7bxeBx+entZk5yfNJtpIcZ3rPfpjkKZrOO4BROwy9uzRUi+2wHW5g1Ba3bBKM12GwxQza4po+UbPHv3TauTkDHADeSPLyni9ig6rqHHACuBm4BLwIvAecB24DvgeeSHL1jWb2pap6APgY+Ir/vhv0AtN3wLrOfBfTTVMOMG3GnU/yUlXdznRjpBuBL4Cnk/yx3Ep3X1WdAJ5NcnKEebvq3mGwxfPlti22w3a4g+4ttsNA4w6DLWbQFi+yiSBJkiRJkvYfb6woSZIkSZLW4iaCJEmSJElai5sIkiRJkiRpLW4iSJIkSZKktbiJIEmSJEmS1uImgiRJkiRJWoubCJIkSZIkaS3/ApLQ6WEjG5URAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1296x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "X, y, splits = get_UCR_data('LSST', split_data=False)\n",
    "tfms=[None, TSClassification()]\n",
    "batch_tfms = [TSStandardize(by_sample=True)]\n",
    "dls = get_ts_dls(X,y,splits=splits,tfms=tfms, batch_tfms=batch_tfms)\n",
    "learn = ts_learner(dls, InceptionTimePlus, metrics=[accuracy, BalancedAccuracy()], cbs=[ShowGraph(), PredictionDynamics()])\n",
    "with ContextManagers([learn.no_logging()]): \n",
    "    learn.fit_one_cycle(50, 1e-3)\n",
    "learn.plot_metrics()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PredictionDynamics in regression tasks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>mae</th>\n",
       "      <th>_rmse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>0.380911</td>\n",
       "      <td>9.125642</td>\n",
       "      <td>2.403069</td>\n",
       "      <td>3.020868</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     train_loss  valid_loss       mae     _rmse\n",
       "299    0.380911    9.125642  2.403069  3.020868"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ZnQ7MB5529wnA05G/AS4DJkT+3QTc0d8NMtONufWl/PdrTbh7SpSTiEj05ecHFU6bN2/m6quv7vGaCy64gMbGxniGNXyV1EPVNFj1eNiRiIikrkmXwZGD8PazYUciInKSfhMK7r6lq8LA3duAFUAtcCVwT+Sye4CrIq+vBO71wGKg2Myq+7vPdQ2jeLt5H9ctWMyH73iRzk4lFUTk1NTU1LBw4cKww0gOE98HG16CA7vCjkREJDWNOQeyiuCt34cdiYjISQbVlNHM6oEzgJeBKnffEjm1lWBJBATJho3d3rYpcuzEz7rJzBrNrLG5uZnLZ9ZQU5TNn97ZySsbdvPC2h2D/Coikmzmz5/Pj370o6N/33bbbXz961/noosuYvbs2UyfPp1HHjl5F4J169Yxbdo0AA4cOMD111/PlClT+NCHPsSBAwfiFn9SmHgZeAeseTrsSEREUlN6Jky4OKgW6+wMOxoRkeMMuCmjmeUDDwO3uvueoFVCwN3dzAZVUuDuC4AFAA0NDT4iI41//YvpvLhmBwuXbOK+xRs4d0LFYD5SRGLl0fmwdVl0P3PkdLjs9j4vue6667j11lu5+eabAXjooYd4/PHHueWWWygsLGTHjh3MmzePK664gu5zUnd33HEHubm5rFixgqVLlzJ79uzofo9kVzsbcsvhrUdhes/LSEREJMYmXgbLH4amJTBqbtjRiIgcNaCEgpllEiQT7nP3X0cObzOzanffElnSsD1yvAkY1e3tdZFj/bpwUiUXTqpkREYaP3pmLYtWNXPeRCUVRFLVGWecwfbt29m8eTPNzc2UlJQwcuRIPv/5z7No0SLS0tJoampi27ZtjBw5ssfPWLRoEbfcEjQUnDFjBjNmzIjnVxj+0tKDZQ8rfwcdRyA9ITYHEhFJLRMuBksPlj0ooSAiCWQguzwYcCewwt3/s9up3wI3ArdHxke6Hf+cmT0InAW0dlsaMSB/+54JPPHGNr708FKe+b8XkJ2ZPpi3i0i09VNJEEvXXHMNCxcuZOvWrVx33XXcd999NDc3s2TJEjIzM6mvr+fgwYOhxZcSJr4PXrsPNi6G+neHHY2ISOrJKYExZ8Oqx+Dir4UdjYjIUQPpoXAO8DHgPWb2WuTf+wkSCe81s9XAxZG/AX4PvA2sAX4K/M1gg8rOTOefrpzKltaD/GLx+sG+XUSSyHXXXceDDz7IwoULueaaa2htbaWyspLMzEyeeeYZ1q/ve44477zzuP/++wFYvnw5S5cujUfYyeW0C8DS4J0/hh2JiEjqOu0C2P4m7GsJOxIRkaP6rVBw9+eBnhcnw0U9XO/AzUOMi7PHlXPO+DJ+8txaPvauMWRlqEpBJBVNnTqVtrY2amtrqa6u5oYbbuDyyy9n+vTpNDQ0MHny5D7f/9nPfpZPfvKTTJkyhSlTpjBnzpw4RR4fZnYX8EFgu7tPixz7FnA5cBhYC3zS3Xef8k2yi4KeF+tfiELEIiJySurPDcb1L8DpV4Qbi4hIRGIshu1s7/HwZ84fx8fu/BP/u3QLfzG7Ls5BiUiiWLbsWEPI8vJyXnrppR6v27t3LwD19fUsX74cgJycHB588MHYBxmeu4EfAvd2O/Yk8GV3P2Jm/w58GfjSkO4y5hxovAuOHIKMrCF9lIiInIKaMyAjB9Y9r4SCiCSMQW0bGTPb3wqafZ3g3ePLGV+Zz89fWEdQ+CAiIt25+yJg5wnHnnD3rkl1MUFz3KEZczYcOQibXx3yR4mIyCnIGAGjz1K1mIgklMRIKHS2wzvPnnTYzLjx7HqWNbXyyoZTr9YVEUlhnwIe7e2kmd1kZo1m1tjc3Nz7p4x+VzDqQVZEJDxj3g3blsP+nf1fKyISB4mRUEhLh6W/6vHUX5xRS0F2Bne/uC6+MYlISlUGJeN3NbN/AI4A9/V2jbsvcPcGd2+oqOhjm968cqiYDOtfjH6gIiIyMF077WguFpEEkRgJhexiWPE/cHjfSafysjK4rmEUjy7bwtZWbQ0nEi/Z2dm0tLQk5f9on8jdaWlpITs7O+xQosbMPkHQrPEGj9Z/xDHnwIaXe1yiJiIicVA7GzKygz4KIiIJIDGaMuaWQvsWeOtRmH71Sac//q567nzhHe57eT1fuGRSCAGKpJ66ujo2bdpEn2XwSSQ7O5u6uuRo/mpmlwJfBM539/1R++AxZ0PjnbB1afBQKyIi8ZWRBXVztfxMRBJGYiQURuRDYR0s/WWPCYXRZblcNLmK+1/ewM0Xjic7U1tIisRaZmYmY8eODTsM6YeZPQBcAJSb2SbgawS7OmQBT5oZwGJ3/8yQbzZ6XjA2LVFCQUQkLHVz4cXvQ/sByMwJOxoRSXGJseQBYPqHYe0fem0y88lz6mnZd5jfLd0S58BERBKXu3/E3avdPdPd69z9Tncf7+6j3H1W5N/QkwkAhbWQWw6bX4vKx4mIJAszu8vMtpvZ8m7HvmVmK81sqZn9xsyKo3Kz2tnQeQS2vRGVjxMRGYrESShMuTKYHFc91uPps8eVMbEqn/96aV1cwxIRkQgzqJkFW5RQEBE5wd3ApSccexKY5u4zgFUE1WNDV3NGMGobXxFJAImTUKidHSx7WPE/PZ42M65tGMXrm1pZs31vnIMTEREAqmfB9hVBqa2IiADg7ouAnScce8Ldu7rYLgai06insBbyKpRQEJGEkDgJBTOYcjmseRoOtfV4yRUza0gzeOS1pjgHJyIiQFCh4B0qtRURGZxPAY/2dMLMbjKzRjNrHFAjZLOgSkEJBRFJAImTUIAgodBxCFY/0ePpysJszh5Xzu+XqY+CiEgoqmcFox5kRUQGxMz+ATgC3NfTeXdf4O4N7t5QUVExsA+tmQ3NK3vccl1EJJ4SK6Ewel5QwtXLsgeA8yaWs7Z5H9v2HIxjYCIiAkBRHeSWqY+CiMgAmNkngA8CN7i7R+2Da84A74QtS6P2kSIipyKxEgpp6TD5A7D6SThyuMdL3nVaOQCL326JZ2QiIgJBqW31LNj8etiRiIgkNDO7FPgicIW774/qh9eoWkxEEkNiJRQAxr8XDu+FTX/q8fTpNYUUZmfw4holFEREQlEzC5pXQLsqxUREAMzsAeAlYJKZbTKzTwM/BAqAJ83sNTP7SdRuWDASCmqUUBCR0GWEHcBJxp4HaRlBc8b6d590Oj3NOGd8OU+v3MahIx1kZaSHEKSISAqrnnVsD/S6OWFHIyISOnf/SA+H74zpTWtmwRZVi4lIuBKvQiG7EOrOhLVP93rJ9WeOZsfewzy2fGscAxMREQBGTg/G7drpQUQkNJVTYOfaXpcJi4jEQ+IlFADGvyfIuO7d3uPpc8eXM7Y8j/sWb4hzYCIiQvFoyMiB5rfCjkREJHVVTAmqxVrWhB2JiKSwxEwojLsoGNc+0+PptDTjqlm1/Hn9Tra3aQ2viEhcpaVD+YRgyzIREQlH5eRgbF4RbhwiktISM6FQPSvYlqyPZQ+XThuJOzzxxrY4BiYiIgBUTFaFgohImMomgKXBdiV3RSQ8iZlQSEuD0y6Et5+FXrbsnViVz9jyPB5/Q30URETirmIStG6EQ21hRyIikpoys6H0NFUoiEioEjOhAFB/DuzdBrve6fG0mXH+xAr+vG4nh450xDk4EZEUVzEpGHesCjcOEZFUVjEZtiuhICLhSdyEwuh3BeOGxb1e8q5xZRxs7+T1ja1xCkpERIDgIRa07EFEJEyVU2Dn29CunmIiEo7ETSiUT4LsYlj/Yq+XzBtbhhm8uHZHHAMTERFKxkJaphozioiEqWIyeCe0rA47EhFJUYmbUEhLg9Hz+qxQKMrNZGpNIS+sUUJBRCSu0jMiOz2oQkFEJDSVU4JRjRlFJCSJm1CAYNlDy2rY13vC4D2Tq2hcv4vmtkNxDExERKiYpISCiEiYyiZAWoYaM4pIaBI/oQB9VilcOjXYPvKpFdo+UkQkriomw6510H4g7EhERFJTxggoHafGjCISmsROKNTMgvQs2PBSr5dMqS5gdGkujy3X9pEiInFVMQlw7fQgIhKmionQsibsKEQkRSV2QiEjC2rn9JlQMDMumzaSF9fuoPVAexyDExFJcWUTglEPsiIi4Sk9LagW69Q26iISf4mdUACoa4Cty6Cj92TB+6aNpL3DeWbl9jgGJiKS4krqg3HnO6GGISKS0kpPg47D0Lop7EhEJAUlfkKhemYwSfaxNmxWXTFVhVla9iAiEk9Z+ZBXCbuUUBARCU3puGDc+Xa4cYhISkr8hELNGcG45bVeL0lLM943dSTPrtrOgcMq9xIRiZvSsbBzXdhRiIikrtLTglEJBREJQeInFErGQlYhbHm9z8sunTqSg+2dPLeqOU6BiYgIJWNVoSAiEqaCasjIUUJBREKR+AmFtDQYOQM2916hAHDm2FJKcjN5/A0texARiZvSsbBnM7QfDDsSEZHUlJYWqRZTQkFE4i/xEwoQbB+5bTl0HOn1koz0NC6YVMmiVc10dnocgxMRCY+Z3WVm281sebdjpWb2pJmtjowlMQugZCzgsHt9zG4hIiL9KD1NCQURCcXwSChUz4IjB2HHW31eds74clr2HeatbW1xCkxEJHR3A5eecGw+8LS7TwCejvwdG6Vjg3HXupjdQkRE+lF6WrDjTmdn2JGISIrpN6HQy69ft5lZk5m9Fvn3/m7nvmxma8zsLTN7X1SirJkVjP0sezhnfBkAL6zZEZXbiogkOndfBOw84fCVwD2R1/cAV8UsgJJIQkFbR4qIhKf0NOg4BHuawo5ERFLMQCoU7ubkX78AvuPusyL/fg9gZqcD1wNTI+/5sZmlDznK0nEwIr/PnR4AqotyGFeRx/NKKIhIaqty9y2R11uBqt4uNLObzKzRzBqbm0+hqW1eeTA/qzGjiEh4tNODiISk34RCL79+9eZK4EF3P+Tu7wBrgDOHEF9ggI0ZAd49vpyX397J4SMq+RIRcXcHem0s4+4L3L3B3RsqKioGfwOzoEpBFQoiIuEpGxeMSiiISJwNpYfC58xsaWRJRFfDr1pgY7drNkWOnWTQv4qNnAbbV4D33XDxnPHlHGjv4NUNuwb0JUREktA2M6sGiIzbY3q30npVKIiIhKmgBtKzlFAQkbg71YTCHcA4YBawBfiPwX7AoH8Vq5gMh9ugdVOfl80bV0aaqY+CiKS03wI3Rl7fCDwS07uVjIVd69UMTEQkLNo6UkRCckoJBXff5u4d7t4J/JRjyxqagFHdLq2LHBu6ytODsXlln5cVZmcyc1Sx+iiISEowsweAl4BJZrbJzD4N3A6818xWAxdH/o6dkvqgGVjb5pjeRkRE+lBSHyR3RUTi6JQSCl2ltBEfArp2gPgtcL2ZZZnZWGAC8KehhRhROTkYt7/Z76XvHl/O65ta2XOwPSq3FhFJVO7+EXevdvdMd69z9zvdvcXdL3L3Ce5+sbsPtA/OqdHWkSIi4SsaBa0bwo5CRFLMQLaN7OnXr2+a2TIzWwpcCHwewN3fAB4C3gQeA252946oRJpTAgXVsL3vCgUI+ih0dDovvx3bZ2gREQGKRgdjP0vSRESSVS/brJea2ZNmtjoylvT1GUNWPAoOtsLBPTG9jYhIdwPZ5aGnX78+5u7T3X2Gu1/RbXsy3P1f3X2cu09y90ejGm3FZGhe0e9lZ4wuJicznedXn8IWaCIiMjiFNcGohIKIpK67OXmb9fnA0+4+AXg68nfsFNUFo+ZiEYmjoezyEH+VU6D5rX4bf2VlpHPm2FJeWNsSp8BERFLYiFzIKdVDrIikrF62Wb8SuCfy+h7gqpgGcbRabGPf14mIRNHwSyi074fd/TecOWd8GWu272Vr68E4BCYikuKK6mBPdHrwiogkiapuVbxbgaqY3q040hd9t/ooiEj8DK+EQsWUYNze/7KHs8eVA/DiWu32ICISc0V10KqEgohIT9zdAe/pnJndZGaNZtbY3DyE5bp5lZA+QhUKIhJXwyyhMCkYB9BH4fTqQkpyM3lhjZY9iIjEXGEt7NGSBxGRbrZ17YwWGbf3dJG7L3D3BndvqKioOPW7paUFyd3dSiiISPwMr4RCdmGwJc4AdnpISzPOHFvKn9dppwcRkZgrqg26ix9qCzsSEZFE8VvgxmMV7nMAACAASURBVMjrG4FHYn7HojpVKIhIXA2vhAIMeKcHgLn1pWzYuZ9te9RHQUQkpooia3e17EFEUlAv26zfDrzXzFYDF0f+jq2i0WqQKyJxlRF2AINWPgHWvwDuYNbnpQ31pQA0rtvFB2ZUxyM6EZHUVFgbjHs2QeXkcGMREYkzd/9IL6cuimsgxaOgbSscOQwZI+J6axFJTcOvQqH0tGCnh7Yt/V46taaQ7Mw0LXsQEYm1okhCQRUKIiLhKRoFuHraiEjcDL+EQtn4YGxZ2++lmelpnDGqhMb1SiiIiMRUQTVgKrUVEQlTUV0wqjGjiMTJME4orBnQ5XPHlvLm5j3sPXQkhkGJiKS49MwgqbBHFQoiIqEp7upno4SCiMTH8EsoFNZCRvbAEwr1JXQ6vLphV4wDExFJcUW1qlAQEQlTYR1gqlAQkbgZfgmFtLSgj8LOtwd0+RmjS0gz+PM7WvYgIhJThUooiIiEKmMEFIxUhYKIxM3wSygAlI0bcIVCflYGp9cU8ud1qlAQEYmporpgyYN72JGIiKSuojolFEQkboZpQmE87HwHOgbWF6FhTCmvbtxFe0dnjAMTEUlhRXVw5CDsV0WYiEhoCqqDrSNFROJgeCYUSsdBZ/uAs69z60s52N7JG5v3xDgwEZEUVti1daR+GRMRCU1hDezpf3t1EZFoGJ4JhUFsHQlBY0aAxnX61UxEJGYKa4Jx77Zw4xARSWUFI+FwGxxqCzsSEUkBwzyhMLA+CpWF2Ywpy+VlNWYUEYmd/KpgVKmtiEh4CiLJXc3FIhIHwzOhkFcOWYWwc2AVCgDzxpbxp3d20tmpZmEiIjGRXxmMqlAQEQlPYXUw7tkcbhwikhKGZ0LBLNjpYcfqAb9l3rhSWg+0s3Kryr9ERGIiIwtySvSrmIhImAoiCQXNxSISB8MzoQBQehrsWjfgy88aWwbA4rdbYhSQiIiQP1IVCiIiYSoYGYxtqlAQkdgbvgmFkvqgk/gAt46sKc5hTFkuLymhICISOwVV+lVMRCRMWQUwokBzsYjExfBOKHQegT1NA36L+iiIiMSYKhRERMJXWK0eCiISF8M7oQCDWvbQ1UdhxdY9MQlJRCTlFVQFCQVX4lZEJDQF1dC2JewoRCQFpFRC4VgfBW0fKSISE/kjoeMwHNgVdiQiIqmroFpLHkQkLoZvQqGwFtIyBpVQ6OqjoMaMIiIxoq0jRUTCVxipUOjsDDsSEUlywzehkJYORaMGlVAA9VEQkdRhZp83szfMbLmZPWBm2TG/6dHu4vplTEQkNAU1Qa+x/foRTURia/gmFCBY9jDYhIL6KIhICjCzWuAWoMHdpwHpwPUxv3F+JKGgCgURkfBo60gRiZPhn1DYvX5Qb1EfBRFJIRlAjpllALlA7J8sC6qCURUKIiLhKawJxj1qzCgisTX8Ewr7W+DgwKsNaopzqC/L5fnVzbGLS0QkZO7eBHwb2ABsAVrd/YkTrzOzm8ys0cwam5ujMC9mFUBmHuzdPvTPEhGRU1NQHYza6UFEYmz4JxRg0FUK50+sYPHbOznY3hH9mEREEoCZlQBXAmOBGiDPzD564nXuvsDdG9y9oaKiIjo3L6iCvapQEBEJTX4lYEooiEjMJUdCYZB9FM6fVMGB9g7+vE7LHkQkaV0MvOPuze7eDvwaODsud84fCW3qoSAiEpr0zCCpoISCiMRYSiYU5p1WxoiMNJ57S8seRCRpbQDmmVmumRlwEbAiLndWhYKISPgKRqqHgojE3PBOKOQUQ3bxoBMKuSMyOGtsKc+uUkJBRJKTu78MLAReAZYRzPcL4nLz/CpVKIiIhC2/Cvapn42IxNbwTigAlIyBne8M+m3nT6xgzfa9bNq1PwZBiYiEz92/5u6T3X2au3/M3Q/F5cb5VXC4DQ7vi8vtRESkB/mVapArIjE3/BMKxaOhdeOg33bBpKD52KJVO6IdkYhIauva/3yvqhREREKTXxUkFDo7w45ERJLY8E8oFI2G3RvBfVBvG1eRT11JDk+t0AOviEhU5VcGo34ZExHBzD5vZm+Y2XIze8DMsuNy47xK8A44sCsutxOR1NRvQsHM7jKz7Wa2vNuxUjN70sxWR8aSyHEzs++b2RozW2pms2MZPADFo+DIAdg/uB0bzIz3TR3J86t30HawPUbBiYikoLzI9pP7VAEmIqnNzGqBW4AGd58GpAPXx+XmR5O7+vFMRGJnIBUKdwOXnnBsPvC0u08Ano78DXAZMCHy7ybgjuiE2YeiUcHYumHQb71s2kgOd3Tyh5X6FU1EJGpyy4NxnxrfiogAGUCOmWUAucDmuNw1vyoYlVAQkRjqN6Hg7ouAE3/+vxK4J/L6HuCqbsfv9cBioNjMqqMVbI+K6oJx9+D7KMweXUJFQRaPv6HtzUREoiYvklDYrwoFEUlt7t4EfJtgK98tQKu7P9H9GjO7ycwazayxuTmKidiuCgUld0Ukhk61h0KVu3dtbLsViKRAqQW6/5/9psix2CkeHYyn0JgxLc1439QqnlnZzMH2jigHJiKSojKyIKtQSx5EJOVFlgVfCYwFaoA8M/to92vcfYG7N7h7Q0VFRfRuriUPIhIHQ27K6O4ODK4jIlHMxuaUQGYetG46pbdfOrWaA+0dPLdK2VsRkajJLVNCQUQELgbecfdmd28Hfg2cHZc7ZxVCRrYSCiISU6eaUNjWtZQhMnY1IWgCRnW7ri5y7CRRy8aaBY0Zdw++hwLAWaeVUpKbyW9fj89yNhGRlJBXoTJbEZFgqcM8M8s1MwMuAlbE5c5mwU4PezUXi0jsnGpC4bfAjZHXNwKPdDv+8chuD/MI1olt6ekDoqqo7pSWPABkpqdx5axannxjG7v3H45yYCIiKSqvHPa3hB2FiEio3P1lYCHwCrCM4Nl7QdwCyK9UhYKIxNRAto18AHgJmGRmm8zs08DtwHvNbDVBKdftkct/D7wNrAF+CvxNTKI+UdGoU17yAHBtwygOd3TyyGuqUhARiYq8ci15EBEB3P1r7j7Z3ae5+8fc/VDcbp5fBXu1m5mIxE5Gfxe4+0d6OXVRD9c6cPNQgxq04lHBL2GH98GIvEG//fSaQqbVFvLLP2/kxrProx+fiEiqyS0PdnlwD8puRUQk/vIrYNOfwo5CRJLYkJsyJoSirp0ehlal8OaWPSxvao1SUCIiKSyvAjqPwMHdYUciIpK68quCarGOI2FHIiJJKkkSCnXBuPvU+igAXDmzlhEZafxi8fooBSUiksLyyoNRyx5ERMKTXwl4UDEmIhIDyZFQKI5sLHGKjRkBinIzua5hFA+/sonNuw9EKTARkRSVWxaMSiiIiIQnrzIY1UdBRGIkORIKBdWQljGkhALAZy4YhzssWPR2lAITEUlReZHtgLV1pIhIePKrglEJBRGJkeRIKKSlQ2HNkJY8ANQW5/Dh2XU88KcNbG87GKXgRERSUNeSB5XZioiEJz+S3NXWkSISI8mRUIDI1pFDSygAfPaCcbR3dHLnH9+JQlAiIikqVz0URERCd3TJgxIKIhIbSZZQOPVdHrrUl+dxxcwa/mvxenbuOxyFwEREUlDGCMgqUkJBRCRMWfkwIl/Lz0QkZpInoVA8CvZsjsq2OJ97z3gOtHfw0z+ql4KIyCnLK9eSBxGRsOVVqEJBRGImeRIKRaPAO6Bt85A/anxlAVfOrOHnL7zD1lb1UhAROSV55fpVTEQkbPmVmotFJGaSKKFQF4xRWPYA8IVLJtHZCd99alVUPk9EJOXklsO+lrCjEBFJbXkVWn4mIjGTPAmF4tHBOMSdHrqMKs3lo/PG8FDjRlZva4vKZ4qIpBRVKIiIhC+vQttGikjMJE9C4WiFwoaofeTn3jOevBEZfPPxt6L2mSIiKSOvHPa3QGdn2JGIiKSuvIrIXNwRdiQikoSSJ6GQmRNMmFGqUAAozRvBZy4Yx5NvbqNx3c6ofa6ISErIqwh62xzcHXYkIiKpK68CcNivZ1kRib7kSShAUKXQGr2EAsAnz6mnsiCLf3t0Je4e1c8WEUlqueXBqGUPIiLhydNcLCKxk2QJhVHQ2hTVj8wdkcHn3zuRJet38cSb2nJHRGTAckuDUb+KiYiEJ68iGJVQEJEYSMKEwkaIciXBNXPqGFeRxzcfW8mRDq0FFpHhwcyKzWyhma00sxVm9q64BtCVUDighIKISGiUUBCRGEqyhEIdtO+HA7ui+rEZ6Wl88dLJrG3ex6+WRGdbShGROPge8Ji7TwZmAivievccVSiIiITuaEJBW0eKSPQlX0IBot5HAeCS06uYM6aE7zy5igOH1SVXRBKbmRUB5wF3Arj7YXePb3dEVSiIiIQvpwQsHfZp60gRib7kSigUjwrG1uhXEZgZ8y+bzPa2Q9z1wjtR/3wRkSgbCzQDPzezV83sZ2aWF9cIRuRDWqYqFEREwpSWFjRm1JIHEYmB5EooFEUSClHcOrK7ufWlXDylip88u5ad+w7H5B4iIlGSAcwG7nD3M4B9wPwTLzKzm8ys0cwam5uj/LBpFlQpqEJBRCRceRVa8iAiMZFcCYXcMsjIjsmShy5funQS+w4f4Qd/WB2ze4iIRMEmYJO7vxz5eyFBguE47r7A3RvcvaGioiL6UeSUqkJBRCRsqlAQkRhJroSCWdBHIQZLHrpMqCrg2oZR/GLxeta37IvZfUREhsLdtwIbzWxS5NBFwJtxDyS3NOqNckVEZJDyKpRQEJGYSK6EAkS2joztTgyff+9EMtLS+Nbjb8X0PiIiQ/S3wH1mthSYBXwj7hHklKhCQUQkbFryICIxkoQJhdhWKABUFWbzV+eO5XdLt/DqBv3yJiKJyd1fiyxnmOHuV7l7/CesnBJVKIiIhC2vAg7vhcP7w45ERJJMEiYURsHerXDkUExvc9P546gsyOIf/3s5Rzo6Y3ovEZFhq6spo3vYkYiIpK68SI+cwS576OzU/C0ifUrChEJdMO5piult8rMyuO2KqbyxeQ93v7gupvcSERm2ckqh4zAcVs8ZEZHQHE0oDHDZgzs8Oh/+tQr+tCB2cYnIsJe8CYUYL3sAuGzaSC6aXMl/PLGKjTtVQiYicpLc0mDU1pEikqLMrNjMFprZSjNbYWbvinsQg61Q2LEKXr4jSAg33qUqBRHpVfIlFIpHBWMcEgpmxj9fNY30NOPzv3xNSx9ERE6UE0koDKYxY2cHvPkILFsYm5hEROLre8Bj7j4ZmAmsiHsEeeXBONCEwqrHg/HcL0DzSti6LDZxiciwl3wJhcLaYNy9MS63qy3O4Rt/MZ3G9bv4zlOr4nJPEZFh41QqFBZ9Gx76ODz8adixJjZxiYjEgZkVAecBdwK4+2F33x33QAZbobDqcaiaBu/6HGDw1qMxC01EhrfkSyhkZEF+FbTGJ6EAcMXMGq6fO4ofP7uW51drSx4RkaMGW6HgDssegqrpYOnw6n/FLjYRkdgbCzQDPzezV83sZ2aW1/0CM7vJzBrNrLG5eZBNEwdqRC6MyB9YD4Ujh2HjYhj3niApXDwKdmirdBHpWfIlFCAuW0ee6GuXT2VCZT63/vI1mttiu8OEiMiwcbRCYYBbRzavhJY10PAJmPg+eP1Brd0VkeEsA5gN3OHuZwD7gPndL3D3BZEtfhsqKipiF0le+cAqFHatg84jUDU1+LtsAuxYHbu4RGRYU0IhSnJGpPPDv5zN3kPt/J+HXqOzUw/AIiLklATjQCsUutbtTvpA8OvY3q3QtiU2sYmIxN4mYJO7vxz5eyFBgiH+8ipg3/b+r2uJJA/KJgRj+URoWavkroj0KEkTCqOChEKcJ76JVQXcdvlU/rh6B3c8tzau9xYRSUjpmZBVOPAeCs0roaAGCquhYlLkmEptRWR4cvetwEYzi0xoXAS8GUoweRUDW/LQEuldUzYuGMvHQ/s+2LM5drGJyLCVvAmFIwdgf0vcb33d3FFcPrOG/3xyFY3rtE2aiAg5JQOvUGh+CyomBq8rJh87JiIyfP0tcJ+ZLQVmAd8IJYqBLnnYsTpIPuQUB393VSrsUPNxETlZkiYU6oIxjo0Zu5gZ3/jQNOpKcrjlgVfZvf9w3GMQEUkouaUDq1BwDx5kyyMJhbwKyC5WMzARGdbc/bVIj4QZ7n6Vuw+wqUyUdVUodPazzXnLWigbf+zv8khCoUW77ojIyZI8oRDfPgpdCrIz+cFHzqB57yG+uHAprjVnIpLKckoHVqHQthUOtx1LKJgFVQqqUBARGbq8CvAOONjPrpUtq49PKBRUQ0Y27F4f2/hEZFhKzoRC8ehgDCmhADCjrpj5l03hiTe3cc+L60KLQ0QkdAOtUOiqROhKKECw/KF5ZWziEhFJJXmRHST6WvbQfiA4XzLm2DEzKKwJ9blaRBLXkBIKZrbOzJaZ2Wtm1hg5VmpmT5rZ6shYEp1QByGnBDJzYXf8lzx096lz6rl4SiXf+P1Klje1hhqLiEhockph/wAqfLu2JeueUCgdF/TDOag5VERkSAaSUOhqvFhYd/zxojpobYpNXCIyrEWjQuFCd5/l7g2Rv+cDT7v7BOBpTthrNy7MIhPfhrjf+vgwjG9dPZOy/BF87v5X2HOwPdR4RERCkVsKh1qh40jf1+1aBxk5UDDy2LGuX8l2hzufi4gMe4NKKFQff7ywDvYooSAiJ4vFkocrgXsir+8BrorBPfpXPDohHkBL8kbw/Y+cwaZdB/jsL5Zw+Eg/jXBERJJNTmkwHuinSmH3+mDuNjt2rDiSUNiltbsiIkPSlVDYO5CEQu3xx4tqoW1L/4lhEUk5Q00oOPCEmS0xs5six6rcfUvk9Vagqqc3mtlNZtZoZo3NzQPYwmawSuqDX7sSwNz6Um7/8AxeWNPClx5Wk0YRSTG5XQmFfvoo7N5wrAdOl5L6Y+dEROTU5ZYC1neFQlskoVBwQoVCUR14Z5BUEBHpZqgJhXe7+2zgMuBmMzuv+0kP/s+5x/97dvcFkS10GioqKoYYRg+KxwRrbg/008k2Tq6eU8f/vWQiv3m1iW8+ro7lIpJCciKtdPrb6WH3huMbgXW9d0S+uouLiAxVWjrklvW/5CGrCLLyjz9eGO4OaiKSuDKG8mZ3b4qM283sN8CZwDYzq3b3LWZWDWyPQpyDd3Td7XrIKQ4lhBPdfOF4Nrce5I5n11Kck8lfnz8u7JBERGIvdwBLHg7uCc6fWKFgFiSIteRBRGTo8iv7TygU1px8vGtLdvVREJETnHKFgpnlmVlB12vgEmA58FvgxshlNwKPDDXIU9JVJpsgyx4gaNL4z1dM5fKZNfzboyu58/l3wg5JRCT2cgaw5KE1sivPiQkFCBLEqlAQERm6vHLYt6P3870mFCI9FVShICInGEqFQhXwGwuaZ2UA97v7Y2b2Z+AhM/s0sB64duhhnoIEbeSVkZ7Gd66dyZGOTv7ld2+SmW58/F31YYclIhI7XRUKfS156OqR0FNCoXgMvP0cuB/fsFFERAYnrwI2v9b7+T2boer0k49nFQTLz9q2xi42ERmWTjmh4O5vAzN7ON4CXDSUoKIipxiyixKqQqFLRnoa3//IGfzNfa/w1UfeICMtjb88q4eHaBGRZDAiH9Iy+65Q6EooFPUwFxbVQfs+OLj7WD8GEREZvLyK3isUOtph77aTd3joUjAS9iqhICLHi8W2kYmjpD5hy2Qz09P44V+ewYWTKvjKb5Zx9wta/iAiScosqFLoq0KhdSNkZAfluCc6WmqrtbsiIkOSVw6HWqH94Mnn9m4DvOclDwD5I1WhICInSe6EQvGYhKxQ6JKVkc4dH53DJadXcdv/vMn3nlqtLSVFJDnllPbTQ6EpeIjtaUlDoZqBiYhERV5kZ7X9PVQp7OnaMrKXhEKBEgoicrLkTiiU1AdltJ2dYUfSq+zMdH58w2yunlPHd55axT//7k06O5VUEJEkk1sK+/vY5WFPU+9ltl3dxbsaN4qIyKnpSij0tNNDV0KhtwqFroSCfvwSkW6SPKEwBjoOD36916G9cZ0sM9LT+OaHZ/Dpd4/l5y+s4zO/WMK+Q0fidn8RkZjLKem/QqErcXCi/EpIy9CSBxGRocqrDMae+igMJKFw5AAcbI1NbCIyLCV3QqG4PhgHuuyhox3uvQr+rRb+8C+xiqpHaWnGP35gCrddfjpPrdjG1T95iabdB+Iag4hIzPTVQ6GzA9q29F6hkJYelOBqyYOIyNB09anpqUKhbXPQy6a35rcF1cG4d1tsYhORYSm5Ewol9cE40K0jl/0K3n4GKqbAC9+HHWtiFlpPzIxPnDOWuz4xl00793PlD1/glQ19lAiLiPTDzNLN7FUz+12ogXT1UOip+mvvNvCO3n8Vg6AxoyoURESGpr8lD731sgHIrwrGti2xiU1EhqXkTigUjwJsYBUK7vD8d6BqOnz8keAXsT//LNYR9uiCSZX8+m/OJndEOtcvWMwDf9qgZo0icqr+DlgRdhDklgZL0A7vO/lcV6KgtyUPXefUQ0FEZGhG5EFGTh8JhV4qxeBYhYIaM4pIN8mdUMjICia/gSQUWtbCjlXQ8AkoqILR8+CdRbGOsFcTqgr475vP4ayxpXz518v4wq9eZ/9h9VUQkYEzszrgA0A42dHuckqDsac+Cns2BWNfD7KFtcHDbgI32RURSXhmkF8Be7effG7P5mNJg54UdFUoKKEgIsckd0IBoGwc7Fzb/3XvPBeMp10YjGPPh+1vwN4eMrhxUpo3grs/eSa3XjyB37zaxFU/eoE3N+8JLR4RGXa+C3wR6PX/ws3sJjNrNLPG5uYYznd9rds9WqHQR0KhqA4623t+v4iIDFxB9bEGjF06OyO9bPpYepZVACPylVAQkeOkQEJhPOxY3f+uDe8sCn4BKz0t+Pu08yPHn4ttfP1ITzNuvXgi93zyTHbua+fKHz3PHc+upUNbS4pIH8zsg8B2d1/S13XuvsDdG9y9oaKiInYB5Uc6i/eUpN3TBJl5kF3c+/u7lkN0VTOIiMipKag+uQ/C/pZgWVpflWIQ7PQw2N3TRCSpJX9CoXwCHNwdTJS9cYd1f4Sx5x1rRFM9C0YUwIbF8YmzH+dNrOCJz5/HxVOq+PfHVnL9gpfYuHN/2GGJSOI6B7jCzNYBDwLvMbNfhBZN11ZlPXUHb90UVCf01ggMjj3ktiqhICIyJIU1sGfL8T+2tXVtGdnHkgeIJCOUUBCRY5I/oVA2IRh3rO79ml3vBAmHUWcdO5aWDjWzoKnPH/fiqjRvBD++YTb/ee1MVm5p433fXcSCRWtp79CaYhE5nrt/2d3r3L0euB74g7t/NLSAjnYW72ndblPfZbZwrEJBOz2IiAxNQTW074ND3ZbRdi2B6G8uzq/SLg8icpzkTyiUjw/Glj4SCk2vBGPtnOOP1zXA1mXQfjA2sZ0CM+MvZtfx2OfP4+xxZXzj9yu5/AfP07iul/3dRUQSQWY2ZBf13AistQkK+9jhAYJ90TNyguSDiIicuq6kwZ5uiYGuhEJBPwmFgpHQtq3/pcQikjKSP6FQPAbSR/RdodD0CmRkQ+WU44/XzgmagG1dFtsYT0FtcQ4/u3EuCz42hz0H2rn6Jy/xxYWvs3Pf4bBDE5EE4+7PuvsHw46DvMqTEwod7cEyiL4aMkKwHKKoTkseRESG6uj2j90aM+7ZDJZ+rN9Nr+8dCUcOwMHW2MUnIsNK8icU0tKDxozNb/V+TdMSqJ4J6ZnHH69tOHY+QV0ydSRPfeF8/vr80/j1K01c+O1n+dkf3+bQkY6wQxMROV5+DwmFti2A998IDIKkgxIKIiJD09Un4cQKhYLq4Lm5L0eTEeqjICKB5E8oAFRNhW1v9Hyu4whseR1qZp98rrA6KP1qaoxtfEOUOyKDL182hf+95Vxmjirm6/+7gov/8zl+t3QzrpI0EUkU+ZUn91AYyJaRXQrrtORBRGSoeqpQaNvcf0NGCCoUQDs9iMhRKZJQmBZsNba/hz4DzSuC0q0T+yd0qZsDmxI7odBl0sgC7v3Umdz7qTPJG5HB5+5/lat+9AJPr9imxIKIhK+nJQ9dCYL+eihAkHRo2xoskxARGSbMLN3MXjWz34UdCwCZOUFfmj0nLHnoryEjQH4koaAKBRGJSJ2EAsD2N08+d7QhYw8VChAse9j1Ts/JiAR13sQK/veWc/nW1TPYuf8wn76nkQ/+4HkeW76Fzk4lFkQkJPkVQVfx9gPHju1eH4wDqVAoqgNcHcZFZLj5O2BF2EEcp6Qedq0LXrsHy8kGsvTs6HKJzX1fJyIpIzUSCiMjCYWty08+17QEsouh9LSe39tVuZDAfRR6kp5mXNMwij984QK+fc1M9h/u4DO/eIXLvvdH/vvVJg4f0VaTIhJn+VXB2P2XrZa3g+NZBf2/v+thV30URGSYMLM64APAz8KO5Thl46FlTfB6z2Zo3x8c68+IvOC5WcvPRCQiNRIK+VWQW9bzbg2bXwmqE8x6fm/NGWBpw2bZw4ky09O4ek4dT/2f8/ne9bPocOfWX77Gud/8Az94ejUtew+FHaKIpIqS+mDs+lUMYOfagT3EQqRCgWN9F0REEt93gS8Cvf6SY2Y3mVmjmTU2NzfHJ6qy8bB7Y7A1+o5VwbHyCQN7b9EoJXZF5KjUSCiYQd1c2Lj4+OMHW4NmjV27OfQkKx8qpgy7CoUTpacZV86q5Ylbz+Pnn5jLxKoC/uPJVbzr9j/w9796neVN2v5HRGKsK3HQ9atY1+uycQN7f1eFwh49yIpI4jOzDwLb3b3Ph0h3X+DuDe7eUFFREZ/gysYDHizr7ZqTywaaUKhVYldEjsoIO4C4GXM2rHosaAjWtcfuhsXgnTD23L7fWzsbVv5vsMast0qGYSItzbhwciUXTq5k9bY27n5xHb9+pYlfLdnE6dWFXNtQx5WzainJGxF2qCKSbAqqITMXdr4d/H2wFfY1Q+kAEwpZ+UGpb9VlJwAAGs5JREFUrR5kRWR4OAe4wszeD2QDhWb2C3f/aMhxHUvktqwJKhRG5B/bwaE/RXXBM7SICKlSoQAw+v+3d+dRclz1oce/t6qX2Wc0o9FoJI12CS12kCXZxrIxINmxMQ4ygfdiB7CSsCQ5hIR3Ai84JGwnPCC8LPCeITjgHJwYsGOz2GACXsC7jWUhyZZkbbb2kUej0TZ7Lzd//Kqnq3u6Z5E06q6a3+ecOrV29b1d3berfnXr3jUyPvBsdtlrT4Abh1mXjfzaWauhryt7EhwSi1pq+cK7Lua529bx+fXLcRz47IPbufz/PMpH7t7EY6+8rm0tKKXOH2MkeHB8r8xnxmN95AHkRFar2iqlAsBae5u1dpa1di5wM/BYWQQTIBvIPb4HOnfL4w5jvWlWPwv6T8JAd+7ynk745tXwrWtln0qpSWHy1FBofaPcGXvtSVi2Xpbte1IehYhWjPxaf8OMY62aGyD1VVFuvWIut14xl+1HTvOfLx7kR785zE9faqe+Msp1y1t4x2/NYM2CJqLu5IlBKaUmQNP8bAO5QwGFcZSrdTP1kQellDpXFXVSnh58ATp2wLyrx/7aTDe/pw9D8xuyy1/4NrRvkfPtx78M7y6vdiiVUhNj8lwdRmKwcB1s/5H0Yd65Rwq9RdeM/trmpVLN9tVfTXgyS23ZjDo+8zvLef6vr+HOP1jNuiXTeOilo2y489dc9oVH+N/3beHn247SM5AsdVKVUkHUtFC6ikwl5DG0ioaxP/IA0NAGJw/II2hKKRUQ1tpfWWtvLHU6ciy7CXb+FLqPwqJrx/66oQZyfcHd5CBs/DYsvBZWboBtP4TT2sWvUpPB5KmhALDivbDjQdjziDz6YFx44y2jv86NSEG76+eQToPji8OkEhKRTfbBivdJP+shEIs4rF3SwtolLfQnUjy+6xg/3drOz14+yr0bDxFzHd60oIl1S6axdsk02hqrSp1kpVQQtCyHdBK2fF/K45W3SsB3rKYtk7YXTh2S4IJSSqmzs/L98NztUuNg+bvG/rr6TBe+B7PL9j8F3a/D6j+SWgvPfwNevg/WfPT8plkpVXYmV0Bh4TXSKNhDn4C+E7D4+rE3QLP4enjpP+Wxh7ZLZVk6DT/+CGy9R+Y3/hvc+mNonDcx6S+RiqjLdcunc93y6SRSaV7Y18VjOzp47JUOPvPANj7zwDbmT61mzcIm1iyYyhXzm7RRR6VUYUvXw7Tl8MBHAQuXvHd8r299o4zbt2hAQSmlzsW0pXLBP+tScKNjf13dTIhUwrFd2WW7H5F2yea/BWLV0HIx7PiJBhSUmgQmV0DBjcLNd8N/vFsu+m/4+7G/duE6KSh/c1c2oPDIpyWYsPZvYP5auPvdsu8P/AKqp05MHkos6jqsWTCVNQum8jc3LuPVY9089koHT+/p5IebDvMfzx3AGFg6vY4rFzaxem4jK2dPobk2XuqkK6XKgRuBm26Hx78CF78HZlwyvte3LJfaZe1bYGl51R5WSqnA+e2/G/9rHFdqIXRszy7b84j0qBarlvmlN8KvvpTbu5pSKpQmV0ABpIHFj70kkVV3HNmvnAKrNsDGO2HNX8Cun8Ez/w8u/RC8+ePSMu4t98Bd74Tv/h5seBBi4X8MYH5zDfOba/jgm+eTSKXZeugUz+zp5Jm9x/nOs/v51ydfA6CtsZKVs6cMDUtaa7WBR6UmqxmXwC3fPbvXRivlRLZ9y/lNk1JKqbGbtgz2PibTJw9A5045T85Y8g741RflceGV7y9NGpVSF8TkCygAxGvP7nVX/S/Y/D34+psgnZDGbN7+5Ww3O7MvlxZt73k/3P8B+J93ZauQpdPQ0yENkI3Wq0RARV2HVXOmsGrOFD66bhH9iRTbjpxi0/6TbDpwgudePc6PNx8BoCLqsLS1jmWtdSyfUc/yGXW8YXotFVG3xLlQSpW91jfC7ochnZI7ZSCNf+14EJoXw/y3ljJ1SikVfi3LYMt3obdLaieAPFo8tP4iqJkOex/VgIJSITc5Awpnq24G/PHj8PRXYfrFsOoPsiezGUt/B274Cjz0cbj9cmi7HLr2wuvbYLAbjAOtK6R7ntlXSHDh9BE4eVBa2QWomirVw+J1kOiV1w32QLIfEv0SzHCiEqyIxOWOXbTKN64avsxxpSG01KA0JJkcgESP7Hew15vulX0bJ3fA+OZN3tgbrAWblgGZrrCWVTbNqlgaFqSx81Kc7hvk8Ike2k/20XG6j84tfRzdmKLDpHnCQFNVhOaaKI1VERqrokypjFBb4eLi2/+wwea+f6GB/G28FuKN8fLnjTPLhr0e+cwdVwZrs/uEvPkC41G3yV/P8NcNTTN8u/zX5BtLi/hD/U/7Poec6fx1ReaLrst7n/zjljnG59UY+9RWwbLoWtjyPdj/tJSlqQT8+01w7BV5NO1Pn4GpC0udSqWUCq9pS2XcsR32PAr1bTB1cXa9MbBgrdTo9Qd/lVKhowGF8WpaAO/82sjbXPYhaJgNT/0TvPpLmDIPVvw+NC2SWgr7noZnb4en/zn3dVVNMu7touCFoROVAIETkcI5NQipgQm4CJsYBqj3hmX+FV4lDoshPWBIDzikO715HPowGOOA4+A4Do7j4jgurmMwjivrhgU8RpnHkHtRn0mMt8zJC6pYKwGZdFI++/xAxNCYIsvzL7hHGPt7ERn1Qn2ki/9CR6CYUQIW+etGnC+wn0LbZj5bxwUT8QWvzlMQ4Lx0K6hdE5alxW+HaDW8dJ8EFJ77hgQT3vEP8Mjn4cE/l8fO9ARWKaUmRstFMt79sHSrfvH/GP7/vWCt1GI48huYtfqCJ1EpdWFoQGGiLL5OhmIGe+DoyxIUqJshffpGvIYL0ynoPQ79p6UdhliNNHJT6OTYWtlHohcSfTIM9njTvdlxOimBCDcmNRvcmLffKtl3tFqmnSgUrA1QoBZAZrt0aoQL+ALLKLyNMQYXcIEz/Qn2HuthT0c3ezq62Xusm70d3ezv6iWVzl7kVcVcZjdW0dZYJeMplcxuqqJtShWtDZXUxPUrrs7RBq3lUHZiVbDsnbD1XpgyBx77Aiy5EVZ/QMqyH/0JPPEVeOsnS51SpZQKp9rpEtzN3By76HeHb7NwnZzj7fyZBhSUCjG92iqVWLW0uVCI48ojD2NpFdcYCURE4tJwZEjUVkRZ0dbAiraGnOUDyRQHjvdy8EQvB473cqCrjwNdMv3U7k76Eqnc/cQjtNRX0FpfwfS6CqbXy9BaX8G02gqaa+M0Vse0gUilguaaz8G+p+DRz8tjZO/6FykPV9wCrz0urYvPWSM1GJRSSp1/b/kE7PoveQS4UFlb1QhzroRXfgLr/vaCJ08pdWFoQEEFSjzisqillkUtwxvWtNbS2T3Iga5eDp3o5eipftpP9cv4dD+7X++k40w/6QK12BuqokytiTO1JkZTTZzmmjhN1TGmegGHhsooDVUx6iujNFRFtfFIpUqttgX+8CHo3AXz35Zbg+uG/wuHX4T7PwR/8hTUNGfXvb5damhpGwtKKXVuZq6CP98EDXOKb7PkRvivv4LO3TB1UXZ5b5fcCDtfjzkqpUpGAwoqNIwxNNfGaa6Ns2pO4doayVSaY90DtJ/q5/VT/XT2DHK8e4DO7gE6zwxyvGeA7UdO09k9wJn+ZNH3ikecoeBCQ2WM+qqozHvLaiuiVMcj1HhDddyltiJCddwbYhFcR/9ElTonDbNlyBevgff8G3xrHdx7K7z3Xnnk674/gp0PyTar/hBu/Cc9mT0bQ4/a9UljwTYNxmuwdqhdFFc+86FpXy2wdEoew8tpdyXzOF1K1lsr05nH6nKmvXFqAJJeW0JuDCIV3hCTBowHe7KNGmemk/2SrkhcGvCMxLxHATPT3jjz+F8mv6M2jItvOj38EcFM3vzrMnnJrHMi3vvHvXzEZVnBxwgz7QH50jesHZtRGgYe0zJ//go1BlysgWCy+/Onyf+4pP9Ryoxi7RGp8tU4f+T1y9bDw5+Gp/4ZbrodOvfAAx+FA89A00LpHW3GJRcmrao0chpCB1JJ33+H4/vd57V15i/vxiudkv+o1GD2se9IPPe/aui9A8Da7H9hZmwc7382Kv+xaW+dE8n9zy22P/9xOcfPYcICCsaY64GvIo/Ef8ta+6WJei+lxiriOrTWV9JaXznqtv2JFF09g3T1DHKqL8HJ3gQn+2T6VK/Mn+qTZQe7etnWl+BkX4LewdSo+wZp/6E6HqE2E2SIu1TFIlRGXSqiLhVRh8qoS2UsM+9662R5RcylIiLr/ctjEYeo6xCLOEQcaZtCqUln+kVw09ellsI3rpQGbY/thLV/C90d8OtvQk0LvO223Nf1nYDjr0JD29geOysn6bTXdk6v15ZOr69dHd+yQW+bZH82KJA/Tg4UX5fo46waLDVu9oJSKTU51LVKY+XPfR0q6mDz3XLBc/UnYMs98J318L77oO0y2d5aaN8MRzbLhd/i64eXxd0d0rtE3wkpz9yodAnf/AZomDv6xdRI0ikp5yKV57afc2GtpCEnKNo7PECaKdczyxN9uW2f+YN3OdMUXu5vI83xLhGTAzBwGk4dhv6T0nNcJphf1Sj/O+mkd6GblCBvogcGzkD/qeyQuaj39542LqZw8MG/znFlWXJAPr8x79qR/6dhwVtneCPtQ9uO0hh7TvCUAsHUdIFl/uORzg0gjPa/6USlpz7/55U5huTte+QPI+9zNrnB4CImJKBgjHGB24FrgUPAC8aYB6y12yfi/ZSaCBVRlxkNlcxoGD344DeQTNHdn6RnIMWZgQQ9Aym6BxJ0D6ToGUjS3Z+keyAp0wO50x1n+ukbTNGfSNOfSNHnDWfbYYExEHUd4l6AIRNo8E/HXYdoxBDL38Z1iLiGiCOBCdc1RB0H1zFEHEPEdbyxzLuOMzSdWec6hqgr66LefMSbd43BGHAdg2MMriO1TBxjhq1zHIaW58w73nZDyzV4onwuerd0w/vLL8hdipvvhiXvkD/HRA88/iWongqXfhBOHYJffAp2/CQb+Z9zpXQFvPAaOXmyFk7sg6Nb4bUnYN+T0HNcGiebc4W0ct52uZzcjlXfCTi2S1pJP/As9HZC3yk5gXNcqRJcOUXuovvv/EP2hG3gtIwHu8f/GWXu6kcrh48r6iE63btjXindHBfa1jjeSY+/hkHeOOeOSjR7hwgAS84JXSafxuTOD91V8mo8ZO7mu1HvjlefdyI5IGnzNzwcq8l2pZxKSK2GTBfKhaZTgwzrXWfMve44MlnoJHUoD2b4epvKnghngjqZmhw5DSR7J3ZDPQ7501QknWParsgyf/5ylo2wXcawboOLdEc9rOelvPHnriz49VUBcfXHoX2LBBXmXCU1FabMhZUb4K53wl03wbWfg9pWePb/S1mYYVyY/xbpKa23Ew69ACcPFH+vSCU0L4Zpy6B5iYynLZFuLfO/j+m0dNne9Zr0RLHvSdj/jJSpkG3AvLIBKhqkTMxMZ8bGGf67zYyHLt6sXPD3n5IG15P9vp7DklLm5EwnGJdIpdfAepUXBPHXYhppmrzlvnLZejXFInGonia1SCob5X/m5EE4sd8L+nh3w52IvD4Sk8aRq5qgcYF8ZhX1XjntdU2fqUnm73be3727v4ewQhfi/gtjf1mRqfUViXufR6X8TziuF+wYYFhNsWG1xfxlbYHlQzXofOksNB5W1vnL2QI9zw2bN3n/fQVqAdp09nuT6PP+D2PZWoBD36MRvgPF8uDPX045/emCX0Fjz0vXank7NeYK4LPW2uu8+dvkmNsvFtp+9erVduPGjec9HUqFgbWWwVSa/sE0fYnUUKDBP+5PpOkblPnBZJpEKs1gMs1gyhuS6eHLk9Ybp0ikbM42A942qbQl6Y0TaUvKG8qZYxgKLjh5wQbHC1IYX9DC8U4wHAcMso3xrXv0L9/6orV2UjRPPanK4lQCvncL7HkYamfISaUbh8s/LEGB9i3w8g/g+O7Cr4/Xwdyr5CT15H7pDnjwjPzJ182Uk6d0wquanxh+8mhTclKV6PV2aKRWRd1MOUmN18ofel+XBB1SvjtAmbsV8VpJR0WD3PmL18oJZebEMlaV7cEnZ3m1LxigQThV/owxWg6HQaF2E063w/0fhP1PyXzNdAlALL5OgqZb74VdP4fTh6Wsm7kSZl0K0y+G6mYp39Ip2fexHdDxitReOPYKnGnPfX8nKmWzEwU3Ihf5/jvZjQtg3psl2JHolyDlQLfcme876QUEMtMnpTzOMI5c2A89shST/4OMWHX24jpS4T3iFMlWWXe9QGtmeigoWu3rja3AEK3SLpLVBVOsLJ6oRx5mAgd984eAnC4NjDEfBj4MMHt2gWdglVKAXNzGIy7xiEs947jzOUHSaUvKSmAhkQk2pGQ+mU6TTFmSvunhyy2pdJp0GlLWYq0llYa0tdmh2Lq0JWXxllvSFt9ybz6d2U/uOmvxXiNDKi3LLLId3vYyL+9hLTxa6g9cTQw3Cr9/D2y8Ew5tlO4nV7xXxiA1Gd7219D1Kuz9pZysYqWL35aL5K6X6/sLHeyV9hk6dsjdM5vy7sTnnzRGss/FJ/qldkPjfJh9BVQ3leSjUEqpC6KqcfiyulbY8CAc2SQBhDlXysV4xrWfk2E0TQug7dLcZX0nJMBwbAecPjK8NkCkAhrnwZR5MG2pdOM+VtardQCyH3fCniJXquyV7Ntvrb0DuAMkGluqdCilxsdxDA6GqMuk6O3i6+8rdQrOjjGmDbgLaEHiJndYa79a2lSVGceVZ3sv+1DxbRrnj97oGMhdsovfc/7SppRSk4XjwKwJqIBSOUUeR5tzxfnftzHSALBSasICCoeBNt/8LG+ZUkqpCyMJ/KW1dpMxphZ40RjzsLZlo5RSSimlzpeJar70BWCRMWaeMSYG3Aw8MEHvpZRSKo+1tt1au8mbPgPsQB5HU0oppZRS6ryYkBoK1tqkMebPgJ8j3Ubeaa3dNhHvpZRSamTGmLnAJcDzpU2JUkoppZQKkwlrQ8Fa+xDw0ETtXyml1OiMMTXA/cDHrLWnC6zXBnKVUkoppdRZmahHHpRSSpWYMSaKBBPuttb+oNA21to7rLWrrbWrm5ubL2wClVJKKaVUoGlAQSmlQsgYY4BvAzustf9Y6vQopZRSSqnw0YCCUkqF05XA+4G1xpjN3nBDqROllFJKKaXCY8LaUFBKKVU61tqnAFPqdCillFJKqfAy1tpSpwFjzBlgZ6nTcR5MBTpLnYhzpHkoH2HIRxjyMMdaOykaFwhJWRyG71wY8gDhyEcY8gDBz4eWw8ET9O8caB7KSRjyEYY8FCyLy6WGwk5r7epSJ+JcGWM2Bj0fmofyEYZ8hCEPk0zgy+IwfOfCkAcIRz7CkAcITz4micCXwxCO75zmoXyEIR9hyEMx2oaCUkoppZRSSimlxk0DCkoppZRSSimllBq3cgko3FHqBJwnYciH5qF8hCEfYcjDZBKG46V5KB9hyEcY8gDhycdkEJZjFYZ8aB7KRxjyEYY8FFQWjTIqpZRSSimllFIqWMqlhoJSSimllFJKKaUCRAMKSimllFJKKaWUGreSBxSMMdcbY3YaY/YYYz5Z6vSMlTFmnzHmJWPMZmPMRm9ZozHmYWPMbm88pdTpzGeMudMY02GMedm3rGC6jfiad2y2GmNWli7lWUXy8FljzGHveGw2xtzgW3ebl4edxpjrSpPqXMaYNmPML40x240x24wxf+EtD8yxGCEPgToWKrjlMASzLA5DOQxaFpfL8dCyODyCWhYHsRyGcJTFWg6Xx7GY9OWwtbZkA+ACe4H5QAzYAiwrZZrGkfZ9wNS8ZX8PfNKb/iTw5VKns0C6rwZWAi+Plm7gBuBngAHeBDxf6vSPkIfPAh8vsO0y73sVB+Z53ze3DPLQCqz0pmuBXV5aA3MsRshDoI7FZB+CXA576Q9cWRyGcniEfATq969lcfkci8k+BLksDmI57KUr8GWxlsPlcSwmezlc6hoKlwF7rLWvWmsHge8D60ucpnOxHviON/0d4KYSpqUga+0TQFfe4mLpXg/cZcVzQIMxpvXCpLS4InkoZj3wfWvtgLX2NWAP8r0rKWttu7V2kzd9BtgBzCRAx2KEPBRTlsdCha4chjIvi8NQDoOWxeVyPLQsDo2wlcVlXQ5DOMpiLYfL41hM9nK41AGFmcBB3/whRv7wy4kFfmGMedEY82FvWYu1tt2bPgq0lCZp41Ys3UE7Pn/mVX2601e1ruzzYIyZC1wCPE9Aj0VeHiCgx2KSCvpxCUtZHMjffhGB/P1rWaxKLMjHJSzlMAT0t19AIH/7Wg4HU6kDCkF2lbV2JfB24CPGmKv9K621FilgAyWo6Qa+ASwAVgDtwD+UNjljY4ypAe4HPmatPe1fF5RjUSAPgTwWKrBCVxYHMc0+gfz9a1ms1DkJXTkMwU03Af3tazkcXKUOKBwG2nzzs7xlZc9ae9gbdwA/RKqpvJ6pcuONO0qXwnEplu7AHB9r7evW2pS1Ng38K9lqQ2WbB2NMFCl07rbW/sBbHKhjUSgPQTwWk1ygj0uIyuJA/faLCeLvX8vi8siDCu5xCVE5DAH77RcSxN++lsPlkYezVeqAwgvAImPMPGNMDLgZeKDEaRqVMabaGFObmQZ+G3gZSfsGb7MNwI9Lk8JxK5buB4BbvdZU3wSc8lU9Kit5z069CzkeIHm42RgTN8bMAxYBv77Q6ctnjDHAt4Ed1tp/9K0KzLEoloegHQsVzHIYQlcWB+a3P5Kg/f61LC6fY6GCWRaHrByGAP32iwnab1/L4fI5FmfNlr5VzBuQljD3Ap8qdXrGmOb5SMucW4BtmXQDTcCjwG7gEaCx1GktkPbvIVVuEsjzOh8olm6k9dTbvWPzErC61OkfIQ//7qVxK/IjbfVt/ykvDzuBt5c6/V6arkKqbm0FNnvDDUE6FiPkIVDHQodglsNeugNZFoehHB4hH4H6/WtZXD7HQodglsVBLYe9NAa+LNZyuDyOxWQvh42XIaWUUkoppZRSSqkxK/UjD0oppZRSSimllAogDSgopZRSSimllFJq3DSgoJRSSimllFJKqXHTgIJSSimllFJKKaXGTQMKSimllFJKKaWUGjcNKCillFJKKaWUUmrcNKCglFJKKaWUUkqpcftvGB1irD2s/8MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "X, y, splits = get_Monash_data('AppliancesEnergy', split_data=False)\n",
    "tfms=[None, TSRegression()]\n",
    "batch_tfms = TSStandardize(by_sample=True, by_var=True)\n",
    "dls = get_ts_dls(X,y,splits=splits,tfms=tfms, batch_tfms=batch_tfms)\n",
    "learn = ts_learner(dls, TSTPlus, n_heads=6, metrics=[mae, rmse], cbs=[ShowGraph(), PredictionDynamics(alpha=.5, size=75)])\n",
    "with ContextManagers([learn.no_logging()]): \n",
    "    learn.fit_one_cycle(300, 3e-4)\n",
    "learn.plot_metrics()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With this new addition there's something else to do while a model is training. You can get a better understanding of things like: \n",
    "\n",
    "* what are the easiest/ most difficult classes?\n",
    "* is the model really focusing on the most frequent classes?\n",
    "* how stable is training? how much change is there from epoch to epoch?\n",
    "* how does the loss function impact predictions? (for example CrossEntropyLossFlat vs LabelSmoothingCrossEntropyFlat)\n",
    "* how does adding class weights (in imbalanced datasets) change predictions?\n",
    "and many more\n",
    "....\n",
    "\n",
    "I really encourage you to use PredictionDynamics with your own datasets and share your experience.\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
